ISSN 1991-2927
 

ACP № 3 (65) 2021

Section: "AUTOMATED CONTROL SYSTEMS"

Aleksandr Kupriianovich Ivanov, Doctor of Sciences in Engineering; graduated from the Faculty of Physics at Irkutsk State University, completed his postgraduate studies at Bauman Moscow Technical School, doctoral studies at Ulyanovsk State Technical University; Chief Staff Scientist of FRPC JSC ‘RPA ‘Mars’; an author of monographs, tutorial, articles in the field of the mathematical modeling of hierarchical real-time computer-aided control systems. e-mail: mars@mv.ruA.K. Ivanov,

Aleksandr Leonidovich Savkin, Candidate of Military Sciences, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications and the Marshal Budjonny Military Academy of Signal Corps; completed his postgraduate studies in the Military Academy of Communications; Head of Science and Engineering Support Department of FRPC JSC ‘RPA ‘Mars’; an author of scientific works, manuals, and articles in the field of the development and modeling of communication control systems, automated information systems. e-mail: mars@mv.ruA.L. Savkin,

Dmitrii Mikhailovich Iastrebov, graduated from the Faculty of Economics and Mathematics of Ulyanovsk State Technical University; Deputy Director General and Head of Complex Research and Development Department of FRPC JSC ‘RPA ‘Mars’; research interests are in the field of computer-aided design systems and mathematical modeling. e-mail: mars@mv.ruD.M. Iastrebov,

Sergei Sergeevich Shumilov, graduated from the Radioengineering Faclty of Ulyanovsk State Technical University; Chief Designer of FRPC JSC ‘RPA ‘Mars’; research interests are in the field of computer-aided design systems and mathematical modeling. e-mail: mars@mv.ruS.S. Shumilov

Decision-making based on the receptor-ligand interaction methods65_1.pdf

The article deals with the mathematical models of decision-making in the management organization systems. The models are based on the receptor-ligand interaction methods studied in the biokinetics. The article describes an interaction between initial data coming to the organization system and knowledge database generated on the basis of operation experience. The combination of matching pairs creates decisions for resolving problems and achieving the goals. The interaction may take one or more stages. For one stage the models were developed in the form of differential equations when the starting amount of data is not equal to the one in knowledge database. When the amounts are equal, the model is represented as Riccati equation in a special form solving by an indefinite coefficient. The article considers cases when information recourses of initial data and the ones of knowledge database are not uniquely defined. The similar models are developed for two stages of interaction. The article gives the examples of calculation of information recourses amount for a decision in case of different ratios of initial data/ knowledge database.

Organization systems, decision-making, mathematical models, receptor-ligand interaction.

2021_ 3

Sections: Automated control systems

Subjects: Automated control systems, Mathematical modeling.



Natalia Vladimirovna Bobochenko, Candidate of Sciences in Engineering; graduated from Volgograd State Agricultural Academy; Associate Professor of the Department of Mechanics of Volgograd State Agrarian University; an author of articles, monographs, and inventions in the field of mechanization and robotization of lifting equipment. e-mail: nat-krivelskaya@mail.ruN.V. Bobochenko,

Vladimir Ivanovich Tokarev, Candidate of Sciences in Engineering; graduated from Volgograd State Agricultural Academy; Deputy Director for Production and General Issues of the Federal Research Center of Agroecology, Integrated Land Reclamation and Safeguard Forecasting of the Russian Academy of Sciences; an author of articles, monographs and inventions in the field of automation and robotization of lifting equipment. e-mail: tokarevvi1970@yandex.ruV.I. Tokarev

Automation of wheel-mounted boom lifting equipment65_2.pdf

The article discusses the on-board information system that will ensure a safe and steady operation of a wheel-mounted boom lifting equipment. The proposed configuration of information panel clearly demonstrates all changes in the angle of boom-lift body orientation while performing necessary production operations and can prevent pre-emergency situations in time. The processing of logged performance values is a very complex and labor-intensive process. Therefore, authors propose to consider the possibility of using the software to reduce time required for performance analysis. The article deals with an algorithm presented here in the form of a block diagram for serial data acquisition, which allows processing logic chain data transferred from the measurement components. The presented mathematical expressions allow authors to calculate the time intervals required for data acquisition and the duration of experimental data recording for further analysis. The proposed combination of the measurement components of on-board information system includes tilt angle meters, force meters, an information panel, and a voltage maintenance unit. All that measurement components of the on-board information system are space saver and can be easily placed on the body of the boom lifting equipment. The figures and tables presented in the article indicate efforts at the creation and commissioning of the on-board information system for boom lifting equipment. As a result, it should be noted that the proposed on-board information system ensures the reliability of a wheel-mounted boom lifting equipment and it is also reasonable to use it for almost all wheel-mounted boom lifting machines as well as for hoisting equipment.

Wheel-mounted boom lifting equipment, information systems, measuring instruments, mathematical expression, component.

2021_ 3

Sections: Automated control systems

Subjects: Automated control systems.



Aleksandr Iurevich Fakeev, Master of the Nizhnekamsk Institute of Chemical Engineering and Technology at Kazan National Research Technological University; an author of articles in the field of workflow automation. e-mail: alexandr071189@gmail.comA.I. Fakeev,

Natalia Viktorovna Lezhneva, Candidate of Sciences in Engineering; graduated from the Faculty of Technical Cybernetics and Informatics of the Kazan Aviation Institute; Associate Professor of the Nizhnekamsk Institute of Chemical Engineering and Technology at Kazan National Research Technological University; an author of articles in the field of modeling and workflow automation. e-mail: nlegneva@list.ruN.V. Lezhneva

Modernization of the control system of the diesel fuel mixing unit65_3.pdf

Based on the analysis of the existing distributed control system of the diesel fuel mixing unit, the imperfection of the control loops of the kerosene fraction, the depressant-dispersant, cetane-increasing and antiwear additives were revealed due to the fact that they do not take into account the quality indicators of commercial diesel fuel if there are in-line analyzers of its characteristics in the automated system. It leads to the need for the operator to participate in the control of the flow rate of these flows. In this regard, the unit was simulated on the basis of experimental and statistical methods, based on the results of which a virtual analyzer of the lubricity of commercial diesel fuel was developed. Proposals have been formulated for the modernization of control loops with the consumption of depressant-dispersant and cetane-increasing additives, kerosene fraction, adjusted for the qualitative characteristics of commercial diesel fuel, as well as the consumption of antiwear additives, corrected according to the results of the readings of the developed virtual analyzer of the lubricity of fuel. Programs for the implementation of modernized control loops in the language of functional blocks of the Centum VP controller have been developed.

Diesel fuel, additive, virtual analyzer, control system, control loop.

2021_ 3

Sections: Automated control systems

Subjects: Automated control systems.



Andrei Aleksandrovich Zakhariev, Candidate of Sciences in Engineering; graduated from the A.S. Popov Higher Naval School of Radioelectronics; Leading Research Associate of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; specializes in designing the dataware and application-specific software for computer-aided control systems; an author of articles in that problem domain. e-mail: andzah@bk.ruA.A. Zakharev

Evgenii Serafimovich Kukin, Candidate of Sciences in Engineering, Associate Professor; graduated from the Faculty of Physics of Voronezh State Technical University; First Deputy Chief Designer of FRPC JSC ‘RPA ‘Mars’; specializes in designing the dataware and application-specific software for computer-aided control systems; an author of articles in that problem domain. e-mail: mars@mv.ruE. S. Kukin

Iaroslav Vladislavovich Mazurov, graduated from Makarov Pacific Higher Naval School; Assistant Director for Special Projects of FRPC JSC ‘RPA ‘Mars’; specializes in design management of application-specific software for computer-aided control systems; an author of articles in that problem domain. e-mail: nobp178@mail.ruI. V. Mazurov

Aleksandr Ignatevich Chizhov, Candidate of Sciences in Engineering; graduated from the A.S. Popov Higher Naval School of Radioelectronics; Chief Specialist of FRPC JSC ‘RPA ‘Mars’; specializes in designing the application- specific software for computer-aided control systems; an author of articles in that problem domain. e-mail: mars@mv.ruA. I. Chizhov

Automated situation awareness in the navy’s computer-aided control systems63_1.pdf

Current development of Armed Forces of the Russian Federation is determined by advancing information technologies. The role of information support in the Navy is constantly growing and is crucial in military decision-making. The article deals with the conceptual approach to the integrated automation of situation awareness in the Navy’s computer-aided control system in order to enhance forces/troops management by providing the force command and military authority officers/ operators with analytical data obtained through acquisition and processing of situation information. For automation upgrade and effective management, the mathematical models of data processing represented by linear differential first- degree equations are given. These models describe the kinetics of various generated information resources and show analytical solutions of the volume of output information resources versus the volume of initial data and conversion rate.

Situation awareness, information objects, intellectual objects, data processing, mathematical models.

2021_ 1

Sections: Automated control systems

Subjects: Automated control systems.



Yury Ivanovich Sineshchuk, Doctor of Sciences in Engineering, Professor; Honored Worker of the Higher School of the Russian Federation; graduated from the Faculty of Combat Information Management Systems of the A.S. Popov Higher Naval Academy of Radio Electronics; Professor of the St. Petersburg University of the MIA of Russia; specializes in the field of information analysis and security, stability of complex systems. e-mail: sinegal@rambler.ru.I. I. Sineshchuk

Tatiana Ivanovna Davydova, Candidate of Sciences in Engineering; graduated from the Radioengineering Faculty of Ulyanovsk State Technical University; Leading Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles and monograph in the field of calculations of radio equipment performance reliability. e-mail: tasha_dav@inbox.ruT. I. Davydova

The technique of substantiating the rational composition of information security tools with constrained resources63_2.pdf

Finding the optimal structure of an information security system is an important task complicated by its uncertain, stochastic and nonlinear nature especially, if resources are constrained. The article considers a mathematical model for determining the cost of damage prevented by information security tools, and the cost of their installation and maintenance. The optimization criterion is the minimum cost of the damage prevented. Task variables are the number of different types of security features installed in the security system. The authors propose a methodology to substantiate rational composition of information security tools, taking into account economic constraints.

Decision-making, threat to information security, information security system, mathematical model, damage.

2021_ 1

Sections: Automated control systems

Subjects: Automated control systems.



Damir Albertovich Murzagulov, graduated from Tomsk Polytechnic University (TPU); Improvado.io Chief Analyst; Postgraduate Student of the Department of Fundamental Informatics and Information Technologies of Tomsk State University; an author of articles in the field of the process data anomaly detection. e-mail: murzagulov.damir@gmail.comD. A. Murzagulov

Aleksandr Vladimirovich Zamiatin, Doctor of Sciences in Engineering, Associate Professor; graduated from Tomsk Polytechnic University (TPU); Head of the Department of Fundamental Informatics and Information Technologies of Tomsk State University; an author of articles and guides in the field of data mining. e-mail: zamyatin@mail.tsu.ruA. V. Zamiatin

The process signal anomaly detection using classifier ensemble and wavelet transforms63_3.pdf

The IT-infrastructure development level of manufacturing plants allows to collect and storage technological information, thereby creating the possibilities to adapt data-mining systems. The article deals with the problem of anomaly detection in process signals with a view to improving the quality of control object monitoring. The ensemble of base classifiers based on algorithms of machine learning and wavelet transforms is proposed to detect anomalies. Authors examine the process signal characteristics and wavelet analysis advantages for signal preprocessing. An approach to the anomaly detection was developed based on a model ensemble. This approach was previously tested on actual process signals.

Process signals, machine learning, wavelet transform, anomaly detection, ensemble.

2021_ 1

Sections: Automated control systems

Subjects: Automated control systems.



Maria Vladimirovna Stepanova,, graduated from the Faculty of Informatics and Control Systems of Bauman Moscow State Technical University (BMSTU) with Master’s degree in Computer Science; Postgraduate Student at the Department of Computer Systems and Networks of BMSTU, an author of scientific papers in the field of adaptive technologies in distributed systems and in education. e-mail: stepanova@bmstu.ruM. V. Stepanova

Oleg Iurevich Eremin, Candidate of Sciences in Engineering; graduated from the Aerospace Faculty of Bauman Moscow State Technical University; Associate Professor of the Department of Computer Systems and Networks of the Faculty of Informatics and Control Systems at BMSTU; an author of articles in the field of adaptive technologies for processing unstructured and semi-structured data. e-mail: ereminou@bmstu.ruO. I. Eremin

The assignment of tasks to the nodes of the iot distributed system based on reinforcement machine learning63_4.pdf

The article describes issues of applying an adaptive approach based on reinforcement learning for assignment of the computing tasks to nodes of distributed Internet of Things (IoT) platform. The IoT platform consists of heterogeneous elements that are computing nodes. Classical approaches, methods, and algorithms for distributed and parallel systems are not suitable for task assignment in IoT systems due to its characteristics. The reinforcement learning method allows you to solve the problem of building a distributed system due to the adaptive formation of a sequence of computational nodes and the corresponding computational tasks. Thus, the article represents a method that makes IoT nodes capable of execution computing tasks, especially, which were previously designed for classical distributed and parallel systems.

Internet of Things, distributed systems and computations, computations nodes, programme code, parallel computing, machine learning, reinforcement learning, adaptive method.

2021_ 1

Sections: Automated control systems

Subjects: Automated control systems.



Maria Anatolevna Skibina, Candidate of Sciences in Engineering; graduated from the Faculty of Mechanics and Mathematics of Ulyanovsk State University (UlSU); Leading Engineer at Federal Research and Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of articles in the field of the research of genetic algorithms applicable to problems of the stochastic system optimization. e-mail: mars@mv.ruM.A. Skibina,

Vsevolod Valentinovich Tipikin, Candidate of Sciences in Engineering; graduated from the Faculty of Physics and Engineering of Ulyanovsk State University; Deputy Chief Designer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of computer-aided information system engineering. e-mail: mars@mv.ruV.V. Tipikin,

Aleksandr Ignatevich Chizhov, Candidate of Sciences in Engineering; graduated from the Faculty of Submarine Combat Information and Control Systems of the Popov Higher Naval Academy of Radio Electronics, the Radioengineering Faculty of N.G. Kuznetsov Naval Academy; Chief Specialist at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of control system automation. e-mail: mars@mv.ruA.I. Chizhov

Suggestions for kill performance forecasting of various objects afloat at the shortest time62_1.pdf

The paper suggests ways to enhance the operational and tactical calculation complexes forming a part of the decision- making support system for naval strength employment. These ways comprise automatic forecasting of kill performance of objects afloat at the shortest time. It gives analytical calculations determining space and time parameters for planning of destroying enemy’s surface combat formations afloat by maneuvering combat formations of surface action groups. The combat formations are supposed to use these parameters to approach to enemy’s forces maneuvering beyond their reach in order to provide an effective engagement range. The paper describes an algorithm of possible optimal allocation of combat formations per objects to be destroyed. It also suggests an algorithm of automatic generation of proposals to the object-destroying schedule including required ammunition calculations employed to destroy an object in order to comply with required level of decision-making effectiveness. The authors give the results of space and time parameters calculations using the module for computer-aided construction of the shortest deployment route.

Operational and tactical calculations, decision-making support, destroying objects afloat.

2020_ 4

Sections: Automated control systems

Subjects: Automated control systems.



Anatolii Ivanovich Piatakov, Candidate of Sciences of Engineering; graduated from the Marshal Budjonny Military Academy of Signal Corps; completed his postgraduate studies at the same Academy; Chief Specialist of FRPC JSC ‘RPA ‘Mars’; specializes in the computer-aided application-specific control system design and the discrete-message transmitting system creation; an author of articles in the field of the reliability of computer- aided packages and data communication facilities. e-mail: uljanovsk-anatol@mail.ruA.I. Piatakov,

Yury Ivanovich Beresnev, Candidate of Military Sciences; graduated from the Marshal Budjonny Military Academy of Signal Corps; Deputy Chief Designer at FRPC JSC ‘RPA ‘Mars’; a specialist in building and maintenance of the communications and data exchange systems; an author of publications in the field of designing the application-specific control systems. e-mail: mars@mv.ruI.I. Beresnev,

Aleksandr Ivanovich Moiseev, Candidate of Sciences in Engineering; graduated from the Faculty of Dual Degree Programs of Ulyanovsk State University; Deputy Head of the Complex Research-and-Development Sector of FRPC JSC ‘RPA ‘Mars’; specializes in the application-specific management system design; an author of articles, inventions, and certificated software complexes in the field of research and building of the application-specific distributed management systems. e-mail: mars@mv.ruA.I. Moiseev,

Vladimir Viktorovich Kalnikov, Candidate of Sciences in Engineering, Associate Professor; graduated from the Faculty of Radioengineering of Kalinin Higher Military Engineering School of Communications (of Kiev); Chief Specialist at FRPC JSC ‘RPA ‘Mars’; specializes in designing the application-specific management systems and building the communication and data exchange systems; an author of articles, textbooks, and inventions in the field of designing the application-specific distributed management systems, communication and data exchange systems. e-mail: mars@mv.ruV.V. Kalnikov

Logistic support for operation of computer-aided tools of the specific-application control systems62_2.pdf

Complicating functions of computer-aided tools of specific application control systems prioritize the task of keeping a high- degree alert performed by the operations services in the presence of component failures. Besides its primary function, the operations service provides the logistic support, maintenance and repair, storage, etc. Thus, it includes all the functions of the logistic support system. The article deals with such problems of the logistic support as planning, preparing and delivery of spare parts used to repair and recover systems. The authors analyzed customer’s requirements, which ensure stable operation of the specific application computer-aided systems. They discovered that one of activities intended to meet the customer’s requirements is preparing spare parts, which provide the operational onsite repair. Currently there are no governing documents specifying the procedure of spare parts preparation. The article proposes an approach to preparing optimal quantity of spare parts based on failure statistics over the past period and forecasting the number of possible failures over the planned period of time. The authors propose the widely-known method of exponential smoothing as a forecast model, which allows giving an unbiased estimate both for stationary time series, and for polynomial ones.

Logistic support, operation of computer-aided tools, spare parts, preparation of optimal quantity of spares, forecasting of line time series, exponential smoothing.

2020_ 4

Sections: Automated control systems

Subjects: Automated control systems.



Vladimir Aleksandrovich Baboshin, Candidate of Sciences in Engineering, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications; Associate Professor of the Department of Reconstruction of Automatic, Telemechanic, and Communication Devices on Railways at the Military Institute of Railway Troops and Military Communications of the Military Academy of Logistics and Transport n.a. Army General A.V. Khruljov; an author of articles, inventions in the field of analysis (synthesis) of information systems and mathematical modeling, reconstruction of railway automatic and telemechanic devices. e-mail: boboberst@mail.ruV.A. Baboshin,

Konstantin Nikolaevich Savinov, Candidate of Military Sciences, Associate Professor; graduated from the Military Academy of Logistics and Transport n.a. Army General A.V. Khruljov; Head of the Department of Reconstruction of Automation, Telemechanic and Communication Devices on Railways at the Military Institute of Railway Troops and Military Communications of the Military Academy of Logistics and Transport n.a. Army General A.V. Khruljov; an author of articles, monographs, scientific research papers in the field of the technical and engineering coverage of railways, the reconstruction of railway automation and telemechanic devices. e-mail: savinoff@mail.ruK.N. Savinov,

Andrei Klimentevich Chernykh, Doctor of Sciences in Engineering, Associate Professor; graduated from Leningrad State University n.a. A.A. Zhdanov; Professor of the Department of Informatics and Mathematics at the St. Petersburg Military Institute of the National Guard Troops of the Russian Federation; an author of articles, inventions in the field of analysis (synthesis) of information systems and mathematical modeling, organization system control. e-mail: nataliachernykh@mail.ruA.K. Chernykh,

Mikhail Gennadievich Iashin, Candidate of Sciences in Engineering, Associate Professor; graduated from the St. Petersburg Military Institute of Railway Troops and Military Communications; Associate Professor of the Department of Reconstruction of Automation, Telemechanic and Communication Devices on Railways at the Military Institute of Railway Troops and Military Communications of the Military Academy of Logistics and Transport n.a. Army General A.V. Khruljov; an author of articles, inventions in the field of analysis (synthesis) of information systems and mathematical modeling, reconstruction of railway automation and telemechanic devices. e-mail: mikl771@rambler.ruM.G. Iashin

Some issues of organization of restoration of railway infrastructure facilities62_3.pdf

The Railway Troops of the Armed Forces of the Russian Federation are intended for technical cover, restoration, demining and barrage of sections (objects) of the RF railroad transport infrastructure in the RF Armed Forces responsibility zone, increasing its survivability and carrying capacity, as well as planning the guidance and operation of floating railway bridges. The railway infrastructure is understood as "a technological complex, which includes subsystems of railway infrastructure, components of subsystems and elements of components of subsystems of railway infrastructure, ensuring the functioning of this complex" [1]. The tasks of the troops include the operation of existing and construction of new sections of railways, bypassing railway (railway) junctions, the construction of temporary railway bridges in order to ensure the actions of troops [2]. When restoring infrastructure facilities for railroad transport, the organization of work management and the promptness of restoring interrupted train traffic play a decisive role, which largely depends on the preparation and decision-making that requires certain engineering calculations. In particular, the development of design documentation for the construction of a bypass of a destroyed section of a road or a railway junction requires a significant amount of time. The most time-consuming document of design documentation is the calculation and construction of a longitudinal bypass profile. The article discusses the issues of automated construction of a longitudinal bypass profile, which can significantly reduce the time required for preparing design documentation, including for laying cable lines to restore the regulation of train traffic.

Railway transport infrastructure, restoration of infrastructure facilities, longitudinal bypass profile, information technology, computer-aided design, automation of calculations, mathematical methods, software.

2020_ 4

Sections: Automated control systems

Subjects: Automated control systems.



Lilia Irfanovna Suleimanova, Candidate of Sciences in Engineering; graduated from the Power Engineering Faculty of Ulyanovsk State Technical University; Leading Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles and inventions in the field of heavy DC detector means. e-mail: suleimanova.lili@mail.ruL.I. Suleimanova,

Tatiana Ivanovna Davydova, Candidate of Sciences in Engineering; graduated from the Radioengineering Faculty of Ulyanovsk State Technical University; Leading Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles and monograph in the field of calculations of radio equipment performance reliability. e-mail: tasha_dav@ inbox.ruT.I. Davydova

Calculation of safety index for foreign origin electronic components62_4.pdf

The article deals with problems arising from the use of foreign origin electronic components, being off the line in standby (storage) mode during operation with periodic monitoring of their operability, as well as with possible ways to solve these problems. It proposes the method of assessing the safety index based on determining the characteristics of foreign origin electronic components for the standby (storage) mode. The method is implemented using mathematical models with the activation energy of physical and chemical processes of electronic components degradation. The use of mathematical models to solve the problem may allow forecasting the reliability of products in the most efficient way. The authors give calculations and comparative analysis of the minimum service life (minimum shelf life) at an elevated temperature for several groups of foreign origin electronic components and for several models of external influencing factors.

Reliability, safety index, foreign origin electronic components.

2020_ 4

Sections: Automated control systems

Subjects: Automated control systems.



Vladimir Aleksandrovich Baboshin, Candidate of Sciences in Engineering, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications; Associate Professor of the Department of Reconstruction of Automatic, Telemechanic, and Communication Devices on Railways at the Military Institute of Railway Troops and Military Communications of the Military Academy of Logistics and Transport n.a. Army General A.V. Khruljov; an author of articles, inventions in the field of analysis (synthesis) of information systems and mathematical modeling, reconstruction of railway automatic and telemechanic devices. e-mail: boboberst@ mail.ruV.A. Baboshin

Andrei Klimentevich Chernykh, Doctor of Sciences in Engineering, Associate Professor; graduated from Leningrad State University n.a. A.A. Zhdanov; Professor of the Department of Informatics and Mathematics at the St. Petersburg Military Institute of the National Guard Troops of the Russian Federation; an author of articles, inventions in the field of analysis (synthesis) of information systems and mathematical modeling, organization system control. e-mail: nataliachernykh@mail.ruA.K. Chernykh

Mikhail Gennadievich Iashin, Candidate of Sciences in Engineering, Associate Professor; graduated from the St. Petersburg Military Institute of Railway Troops and Military Communications; Associate Professor of the Department of Reconstruction of Automation, Telemechanic and Communication Devices on Railways at the Military Institute of Railway Troops and Military Communications of the Military Academy of Logistics and Transport n.a. Army General A.V. Khruljov; an author of articles, inventions in the field of analysis (synthesis) of information systems and mathematical modeling, reconstruction of railway automation and telemechanic devices. e-mail: mikl771@rambler.ruM.G. Iashin

Konstantin Nikolaevich Savinov, Candidate of Military Sciences, Associate Professor; graduated from the Military Academy of Logistics and Transport n.a. Army General A.V. Khruljov; Head of the Department of Reconstruction of Automation, Telemechanic and Communication Devices on Railways at the Military Institute of Railway Troops and Military Communications of the Military Academy of Logistics and Transport n.a. Army General A.V. Khruljov; an author of articles, monographs, scientific research papers in the field of the technical and engineering coverage of railways, the reconstruction of railway automation and telemechanic devices. e-mail: savinoff@mail.ruK.N. Savinov

Optimization elements in the plan of technical covering of objects in communication lines61_1.pdf

A method is proposed for solving the problem of distributing a limited integer resource of forces and means of transport support for technical cover facilities. The prospects of developing special mathematical software with the aim of improving the quality of management based on the automation of the processes of meaningful processing of information and decision support are justified. The novelty of the method is determined by the statement of the indicated problem in the form of an integer programming model. The method is characterized by the stability of the computational scheme to change the dimension of the problem, a small number of iterations and its rapid convergence to the optimal solution, which determines its effectiveness.

Transport support, distribution, technical cover, algorithm for solving the distribution problem, mathematical methods, software.

2020_ 3

Sections: Automated control systems

Subjects: Automated control systems, Mathematical modeling.



Elena Ivanovna Stepnova, graduated from the Faculty of Information System and Technologies of Ulyanovsk State Technical University; Postgraduate Student of the Department of Measuring and Computing Systems of UlSTU; an engineer of Aeropribor-Voskhod, JSC; an author of articles in the field of instrumentation. e-mail: seistep1992@yandex.ruE.I. Stepnova

Sergei Konstantinovich Kiselev, Doctor of Sciences in Engineering; graduated from Ulyanovsk Polytechnic Institute with a degree in Aircraft and Instrument Engineering; Head of the Department of Measuring and Computing Systems of UlSTU; an author of monographs, articles, inventions in the field of instrumentation. e-mail: ksk@ ulstu.ruS.K. Kiselev

Adaptation of displayed flight and navigation data in the aircraft electronic display system61_2.pdf

The problem of flight safety continues to be of great importance in civil aviation, despite today aviation is the safest mode of transport. Particular attention is paid to the human factor, since it has a significant impact on safety. The article analyzes the impact of eye strain caused by displayed flight navigation data on a pilot during landing and discusses how to reduce it. It considers how the pilot interacts with aircraft equipment. The flight data, increasing eye strain, but having no affects on successful landing of the aircraft is specified. The article substantiates the necessity of adaptive display of flight data on the screen during landing. The proposed adaptive method for displaying flight navigation data is supposed to reduce the pilot’s eye strain, which contributes to improved quality of piloting and ensures flight safety.

Flight and navigation display, electronic display system, aircraft, display adaptation, pilot’s eye strain.

2020_ 3

Sections: Automated control systems

Subjects: Automated control systems, Mathematical modeling.



Oleg Valentinovich Zhiliaev, Postgraduate Student at the Department of Heat and Fuel Energetics of Ulyanovsk State Technical University; graduated from the Faculty of Special Machine Building of Bauman Moscow State Technical University; Lecturer at Kazan National Research Technological University; an author of articles and inventions in the field of liquid’s measuring. e-mail: oleg_zhilyaev@rambler.ruO.V. Zhiliaev

Vladislav Nickolaevich Kovalnogov, Doctor of Sciences in Engineering, Professor, Head of Department of Heat and Fuel Energetics of Ulyanovsk State Technical University; graduated from Ulyanov-Lenin Kazan State University; an author of articles, monographs, inventions in the field of mathematical modeling, research and optimization of heat, gas and hydrodynamic processes in applications to the problems of creation of energy equipment, heat equipment, transport energetic and energy machines. e-mail: kvn@ulstu.ruV.N. Kovalnogov

The analysis of a new physical method for measuring the fluid mass flow rate and density61_3.pdf

This paper gives the preliminary analysis of a new physical method of measuring the fluid’s mass flow rate and density which has been discovered by other authors. The need for exploration and development of the method is defined by its advantages in comparison with other currently existing systems for mass flow rate measuring such as Coriolis flowmeter. The new physical method under consideration is based on measuring the alternating pressure difference which would occur along the flow due to harmonic oscillations of the cross-section area of the pipeline which has flexible walls. It is shown that the new physical method gives the opportunity of simultaneous measurement of mass flow rate and liquid’s density. A mathematical model of the process of non-stationary flow of a liquid is built. The problem of non-stationary flow of a liquid is considered and solved as to be one-dimensioned one. The detailed and thorough derivation of the formulae of the mathematical model is performed. Some inaccuracies in formulae permitted by authors of the method are indicated at. The limitations in applicability of the method which had been indicated at by its authors are also essentially weaken. The theoretical examination and approval of conclusions about the applicability of the new method are made.

Liquid, density, mass flow rate, pipeline, oscillations, measuring.

2020_ 3

Sections: Automated control systems

Subjects: Automated control systems, Mathematical modeling.



Andrei Konstantinovich Morozov, graduated from Tver State University; Postgraduate Student at the Department of Computer Software of Tver State Technical University; the area of his scientific interests relates to the mathematical modeling and programming. e-mail: yerdnavozorom@gmail.comA.K. Morozov

Synthesis of the target echo signal with the required parameters to model radar blip and assess tactical characteristics of radars61_4.pdf

The article deals with the problem of modelling radar blips by reproducing an echo signal of true targets to assess tactical characteristics of radars. A software-defined vector generator with incorporated computer and receiver is placed at given angular coordinates and at some distance from radar. The computer generates a digital representation of the waveform; the generator emits a signal corresponding in structure to the radar one. Trigger input of the generator obtains a signal on the period start coming from receiver and computer to ensure inter-period synchronization. The receiver obtains and processes pulses coming from radar. When the strength threshold of received signal is exceeded, the computer-controlled generator receives a signal informing that emitting of prepared echo template has started. As a result, the generator emits an echo signal from the given coordinates, which corresponds to the echo signal of the desired radar blip. The article discusses conditions for generating these blips and characteristics of simulated blips based on characteristics of the equipment used and the radars tested. The author also gives an example of calculating the characteristics of simulated radar blips.

Pulse radar, radar blip, radar target, vector signal generator, radar blip profile.

2020_ 3

Sections: Automated control systems

Subjects: Automated control systems.



Aleksandr Kupriianovich Ivanov, Doctor of Sciences in Engineering; graduated from the Faculty of Physics at Irkutsk State University, completed his postgraduate studies at Bauman Moscow Technical School, doctoral studies at Ulyanovsk State Technical University, Chief Staff Scientist of FRPC JSC ‘RPA ‘Mars’; an author of monographs, tutorial, articles in the field of the mathematical modeling of hierarchical real-time computer-aided control systems. e-mail: mars@mv.ruA. K. Ivanov

The model of informational interaction in the generation of decisions by command units60_1.pdf

The article describes the process of decision generation performed by the operations staff of a command unit as an interaction of three types of information resources, i.e. raw situation information, incoming to the system of control; information resources of knowledge base of the system; and information resources of the decision-maker experience. Such interaction encompasses an amount of decision information recourses. The differential model of the second-order reaction is suggested as a mathematical model of interaction similarly to a chemical reaction, if two types of information resources are considered; and the differential model of the third-order reaction, if all types of information resources are considered. The method of undetermined coefficients was used to find the analytical solutions of relation between the reaction rate constant and time, volume of interacting resources, and volume of solution results. An interaction mechanism was developed to provide review of the whole information space and selecting of the most promising combinations comprising the final result. Based on this mechanism two methods of finding a solution were described as follows: a slow one that sorts out all combinations in a sequential order, or a quick creative one based on the intuition of a decision-maker who performs a part of operations simultaneously.

Command unit, decision-making, mathematical model.

2020_ 2

Sections: Automated control systems

Subjects: Automated control systems.



Konstantin Konstantinovich Vasilev, Doctor of Sciences in Engineering; graduated from the Radioengineering Faculty of Leningrad Electrotechnical Institute n.a. V.I. Ulyanov (Lenin); Professor of the Department of Telecommunications at Ulyanovsk State Technical University, Honored Worker of Science and Technology of the Russian Federation, Corresponding Member of the Academy of Sciences of the Republic of Tatarstan; an author of monographs, manuals, and articles in the field of statistical synthesis and analysis of information systems. e-mail: vkk@ulstu.ruK. K. Vasilev,

Leonid Iurevich Korolev, graduated from Ogarev Mordovia State University; Postgraduate Student of the Department of Infocommunication Technologies and Communication Systems of Ogarev Mordovia State University; an author of articles in the field of the unmanned aerial vehicle navigation. e-mail: l.y.korolev@ yandex.ruL. I. Korolev

Opportunities for reduction of computational costs when determining the coordinates of autonomous vehicle group60_2.pdf

The article deals with the known and new algorithms proposed by authors for integrating the estimates of eigen and mutual coordinates and velocities of movement for an arbitrary number of autonomous vehicles. The impact of uncontrolled external disturbances on the system is taken into account. Four versions for developing the navigation-parameter processing algorithms on the basis of two-stage integration of observations, Kalman vector and scalar filters are proposed and examined. The first technique involves estimating the coordinates and speeds of all aerial vehicles with a Kalman vector filter. The second technique is to integrate velocities at the first stage and to use the Kalman vector filter at the second stage. The third one is based on separate integration of coordinates and velocities at the first stage with subsequent processing of estimates with a scalar Kalman filter. In the fourth technique, observations of eigen and mutual coordinates are integrated and processed by a scalar filter, taking into account direct observations of eigen speed of the apparatus. Expressions for covariance error matrices are derived, and the comparison results of the effectiveness of the considered approaches are given. Computational costs are analyzed when estimating the location by the use of each of the considered algorithms.

Integration of estimates, coordinates, state vector, observation model, stochastic equation, Kalman filter, covariance of errors.

2020_ 2

Sections: Automated control systems

Subjects: Automated control systems.



Sergei Aleksandrovich Ageev, Doctor of Sciences in Engineering, Associate Professor; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Head of a research department at Radioavionica JSC in St. Petersburg; specializes in the design of telecommunication systems, automated communication management systems, and the development of methods and algorithms for managing complex systems; an author of articles and patents in the field of telecommunication and multiservice systems and communication networks. e-mail: serg123_61@mail.ruS. A. Ageev

Nina Sergeevna Ageeva, graduated from the Faculty of Engineering and Physics of the Saint Petersburg National Research University of Information Technologies, Mechanics, and Optics (ITMO University); Scientific Associate the Marshal Budjonny Military Academy of Signal Corps; specializes in building the automated service quality management systems in multiservice communication networks; an author of articles and patents in the field of data compression methods and algorithms in multiservice communication networks. e-mail: nine11ia@yandex.ru.N. S. Ageeva

Vladimir Vladimirovich Karetnikov, Doctor of Sciences in Engineering, Professor; graduated from the Saint Petersburg State University of Waterway Communications; Head of the Department of Inland Navigation at Admiral Makarov State University of Maritime and Inland Shipping; specializes in the design and development of systems, communication networks and radio navigation systems; an author of articles and patents in this subject area. e-mail: spguwc-karetnicov@yandex.ruV. V. Karetnikov

Andrei Andreevich Privalov, Doctor of Military Sciences; graduated from the Marshal Budjonny Military Academy of Signal Corps; Professor of the Department of Electrical Communication of the Emperor Alexander I St. Petersburg State Transport University; specializes in the field of mathematical modeling and development of methods, algorithms, and control systems of infocommunication systems; an author of articles and patents in the field of operational management of communication networks and large cyber-physical systems. e-mail: aprivalov@inbox.ruA. A. Privalov

The real-time assessing method for the state of network elements to provide for quality parameters in corporate high-speed multiservice communication networks60_3.pdf

The article suggests an intelligent method and algorithms of assessing the state of network elements to provide for quality parameters of communication services in corporate multi-service communication networks, which operate in near real- time mode. The distinctive feature of corporate multi-service networks is the rapid change of their state. And this is an automated network management system, which provides for the specified quality of communication services. In this way, the relevance of this research is highlighted by the need to implement network management processes with specified quality in near real-time mode. The real-time assessing method for network element state is based on the intelligent agent concept. The suggested approach assumes the intelligent agents are created as hierarchical situational fuzzy networks, where management solutions are made on the basis of solution of hierarchical system of optimization problems, which relies on the methods of fuzzy mathematical programming, unlike common case-based methods. The main paradigm of their operation lies in ‘situation – action.’ This allows to reduce significantly the dimension of solving task and to obtain Pareto-optimal solutions for quality management of communication services. The intelligent agent is able to implement management solutions automatically provided that the network manager designate such capabilities to it. The method of estimating traffic parameters is based on the concept of conventional nonlinear Pareto-optimal filtering developed by V.S. Pugachev. The core of this method is in the two-stage procedure. In the first stage the parameter estimations are predicted, and in the second one their values are corrected, after next observations have been received. Adaptation is implemented on the basis of pseudogradient procedures, which parameters are adjusted with Takagi-Sugeno fuzzy logical conclusion. The mean relative error of traffic parameters estimation does not exceed 10%, which is sufficient for real-time quality management of communication services.

Hierarchical situational fuzzy network, intelligent agent, pseudogradient procedures, conventional nonlinear Pareto-optimal filtering, Takagi-Sugeno fuzzy logical conclusion, fuzzy rule base, fuzzy knowledge base.

2020_ 2

Sections: Automated control systems

Subjects: Automated control systems.



Aleksandr Kupriianovich Ivanov, Doctor of Sciences in Engineering; graduated from the Faculty of Physics at Irkutsk State University, from the postgraduate studies at Bauman Moscow Technical School, from the Doctoral Studies at Ulyanovsk State Technical University; Chief Staff Scientist of FRPC JSC ‘RPA ‘Mars’; an author of monographs, text book, articles in the field of the mathematical modeling of hierarchical real-time computer- aided control systems. e-mail: mars@mv.ruA.K. Ivanov

Modeling spatial transformation of information resources of management bodies58_1.pdf

Differential models for information processes of management bodies are constructed, which take into consideration spatial distribution and data transformation. The various forms of heterogeneous data interaction with a diffusion propagation from a general function up to the Lotka-Volterra equation are considered. A procedure for researching models with a linearization at special points is described. Oscillatory conditions and information wave transmission are defined. The case of data generation at each point of management body at a logistic law is reduced to the Fisher equation. Diffusion equations with data generation at an exponential rate as well as diffusion equations with convective data propagation, and diffusion equations that take into consideration the generation and convective propagation are solved by methods of transformation of variables and sinus transformation. The approximate results are presented in graphical form. The developed set of mathematical models is aimed to improve the automation level of management bodies, to identify an optimal organization of officials’ activity. The prospects for formalizing the decision-making procedure is demonstrated.

Management bodies, information processes, mathematical modeling, differential equation systems.

2019_ 4

Sections: Automated control systems

Subjects: Automated control systems.



Konstantin Nikolaevich Savinov, Candidate of Military Sciences, Associate Professor; graduated from the Military Academy of Logistics and Transport n.a. Army General A.V. Khrulyov; Head of the Department of Restoration of Automatic, Telemechanic, and Communication Devices on Railways of the Military Institute of Railway Troops and Military Communications of the Military Academy of Logistics Transport n.a. Army General A.V. Khruljov; an author articles, monographs, research projects in the field of technical protection of railways, restoration of railway automatic and telemechanic devices. e-mail: savinoff@mail.ruK.N. Savinov,

Vladimir Aleksandrovich Baboshin, Candidate of Sciences in Engineering; graduated from the Ulyanovsk Higher Military Command School of Communications; Associate Professor of the Department of Reconstruction of Automatic, Telemechanic, and Communication Devices on Railways at the Military Institute of Railway Troops and Military Communications of the Military Academy of Logistics and Transport n.a. Army General A.V. Khruljov; an author of articles, inventions in the field of analysis (synthesis) of information systems and mathematical modeling. e-mail: boboberst@mail.ruB.V. Aleksandrovich,

Roman Anatolevich Panteleev, graduated from the Military Transport Institute of Railway Troops and Military Communications; Lecturer at the Department of Reconstruction of Automatic, Telemechanic, and Communication Devices on Railways of the Military Institute of Railway Troops and Military Communications of the Military Academy of Logistics and Transport n.a. Army General A.V. Khruljov; an author of articles, inventions, research and methodological papers in the field of reconstruction of railway automatic and telemechanic devices. e-mail: pantel98@mail.ruR.A. Panteleev,

Viacheslav Gennadevich Kozlovskii, Candidate of Sciences in Engineering, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications, the S.M. Budjonny Military Academy of Signal Corps; Postgraduate of the Military Adjunct Department at the Ulyanovsk Higher Military Engineering School of Communications; Associate Professor at the Department of Telecommunication Technologies and Networks of Ulyanovsk State Technical University; an author of research papers and tutorials in the field of development and simulation of computer-aided control and communication systems. e-mail: saveli58@yandex.ruV.G. Kozlovskii

To the issue of reliability of a unified restoration complex of railway automation and telemechanics 58_2.pdf

The effectiveness of railway transport depends on the throughput and carrying capacity of stations and track facilities, and the effectiveness of the organization of the technological process at the station plays a decisive role. The article discusses the formation of requirements for a specialized recovery system for the safe regulation of train traffic at railway stations exposed to adverse factors, based on a systematic approach. To restore the elements of the railway infrastructure and organize the normal functioning of the devices and systems of railway automation and telemechanics (RAT), it is proposed to use the developed unified recovery complex (URC-RAT). Particular attention is paid to the consideration of the formation of the structure and assessment of the reliability parameters of the proposed URC-RAT. To justify the decision in the interests of ensuring the high efficiency of the structure of the developed system and determining the rational composition of URC-RAT as a complex organizational and technical system, it is necessary to consistently evaluate individual parameters based on the selected criteria. To do this, it is necessary to assess the characteristics of the reliability, survivability and safety of URC-RAT and determine the optimal operational values of the indicators.

System approach, railway station, complex organizational and technological system, railway automation and telemechanics, restoration, unified recovery complex, efficiency, reliability.

2019_ 4

Sections: Automated control systems

Subjects: Automated control systems.



Aleksandr Kupriianovich Ivanov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Doctor of Science in Engineering; graduated from the Faculty of Physics at Irkutsk State University, completed his postgraduate study at Bauman Moscow Technical School, doctoral study at Ulyanovsk State Technical University; Chief Staff Scientist of FRPC JSC 'RPA 'Mars'; an author of monographs, text book, articles in the field of the mathematical modeling of hierarchical real-time computer-aided control systems. [e-mail: mars@mv.ru]I. Egorov,

Vladimir Aleksandrovich Baboshin, St. Petersburg National Guard Forces Command Military Institute, Candidate of Sciences in Engineering, Associate Professor; graduated from Ulyanovsk Higher Military Command College of Communications; Associate Professor at the Department of Informatics and Mathematics of St. Petersburg National Guard Forces Command Military Institute; an author of articles and inventions in the field of the analysis and synthesis of information systems and mathematical modeling. [e-mail: boboberst@mail.ru.]A. Moiseev,

Models for Creating the Special-Purpose Mathematical Support of Computer-Aided Control Systems 56_1.pdf

Authors provide reasons to a promising outlook for creating a technology for the development of special-purpose mathematical support of the computer-aided control system in order to improve the management based on process automation of content-related information processing and decision-making support. Different special-purpose software components as well as their development stages are analyzed. A block diagram of special-purpose mathematical support creating that includes production volume data at each stage and intensity of its growth and decrease. Linear differential equations build the mathematical models for creating the special-purpose mathematical support. Analytical decisions have been made, curves demonstrating the production volume change at all stages are provided. For mathematical modelling the processes of special-purpose mathematical support creating and decision-making support, authors use the Lotka-Volterra equations that demonstrate the creative behavior of designers’ work. The equations obtained are examined for stability. Authors detect approximate decisions. The models built are designed for optimal source distribution among development stages of all the special-purpose software types.

Special-purpose mathematical support, design technology, mathematical modelling.

2019_ 2

Sections: Automated control systems

Subjects: Automated control systems, Mathematical modeling.



Dmitrii Andreevich Grigorev, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Master’s Student; graduated from the Faculty of Informatics and Computer Engineering of Ulyanovsk Polytechnic Institute; Leading Software Engineer at Federal Research-and-Production Center Joint Stock Company ‘RPA ‘Mars’; an author of articles in the field of air-defense processes automation. [e-mail: mars@mv.ru]D. Grigorev,

Tatiana Nikolaevna Maslennikova, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Science in Engineering; graduated from the Radioengineering Faculty of Ulyanovsk Polytechnic Institute; Head of a research laboratory in FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of information support of computer-aided systems of special-purpose. [e-mail: mars@mv.ru]T. Maslennikova,

Aleksandr Nikolaevich Piftankin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Science in Engineering; graduated from the Faculty of Mechanics and Mathematics of Ulyanovsk State University; Chief Specialist at FRPC JSC ‘RPA ‘Mars’; an author of articles inthe field of automation of complex radar information processing, planning of fighter aircraft actions and control processes. [e-mail: mars@mv.ru]A. Piftankin,

Anastasiia Vladimirovna Polovinkina, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Sciencs in Physics and Mathematics; graduated from the Faculty of Mathematics and Information Technologies of Ulyanovsk State University; Software Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of basic algebra and complex processing process automation. [e-mail: mars@mv.ru]A. Polovinkina

The Mathematical Model of Air Defense Control Process 56_2.pdf

The article deals with problems on shipborne anti-aircraft defense (AAD) system control process. The development of a plan for distribution of shipborne air defense systems through enemy objects is a one of the main stages of this process. The distribution plan represents an assignment array, the element of which includes identifiers for the air object and AAD facilities and is assigned for that air object. The distribution plan is generated with ranking of air objects on a danger level, evaluating the capabilities or efficiency of the AAD facilities assignment to air objects, and generating the plan of AAD facilities distribution through air objects according to the given efficiency criterion. When solving this problem, it arises the necessity of considering not only the actual state of the system but the predicted one. Authors suggest a mathematical model that considers jointly planning processes (problem solving on the predicted state) and control processes (problem solving on the actual state) of AAD facilities. The model takes into account the using of multiplex means and their loading features as well as the dynamics of evolving events.

Anti-aircraft defense (AAD), mathematical models, anti-aircraft weapon, distribution plan, assignment criterion.

2019_ 2

Sections: Automated control systems

Subjects: Automated control systems.



Iurii Petrovich Egorov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Doctor of Science in Engineering, Professor; graduated from the Faculty of Radioengineering of the Admiral Makarov Leningrad Higher Maritime School of Engineering; Chief Staff Scientist at Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; specializes in the field of macro-design of large-scale information management systems; an author of articles, monographs, patents in the field of computer-aided control systems design. [e-mail: yupe@mail.ru]I. Egorov,

Aleksandr Ivanovich Moiseev, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars, Candidate of Science in Engineering; graduated from the Faculty of Dual Degree Programs of Ulyanovsk State University; Leading Engineer at FRPC JSC ‘RPA ‘Mars’; specializes in the field of the special-purpose management system development; an author of articles, inventions and certificated software complexes in the field of research and building of special-purpose distributed management systems. [e-mail: mars@mv.ru]A. Moiseev,

Anatolii Ivanovich Piatakov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars, Candidate of Science in Engineering; graduated from the Marshal Budjonny Military Academy of Signal Corps; completed his postgraduate studies in the Military Academy of Communications; Chief Specialist at FRPC JSC ‘RPA ‘Mars’; specializes in the field of organization and creation of discrete messages transmitting systems; an author of articles in the field of the automation complexes reliability and data communication. [e-mail: uljanovsk-anatol@mail.ru]A. Piatakov,

Vladimir Viktorovich Kalnikov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars, Candidate of Science in Engineering, Associate Professor; graduated from the Faculty of Radioengineering of Kalinin Higher Military Engineering School of Communications (of Kiev); Chief Specialist at FRPC JSC ‘RPA ‘Mars’; specializes in the field of the special-purpose management system development and organization of communication systems and data exchange systems; an author of articles, textbooks, and inventions in the field of the development of special-purpose distributed management systems, communication and data exchange systems. [e-mail: mars@mv.ru]V. Kalnikov

Evaluating of Functional Capabilities of Automation Means Complexes of Automation Management Systems of the Armed Forces Under Conditions of Sub-system Failure Flow 55_1.pdf

In view of the increasing complexity of the tasks given to the automation means complexes of automated management systems of the Armed Forces, designers focus on the task to evaluate the function capabilities of complexes under conditions of the sub-system failure flow. The article deals with the problems of a functional approach to the reliability of automation means complexes, and the evaluation of its functional readiness to solve the tasks.Authors offer a hierarchical functional model of the automation means complexes presented with the set of common, special, and local control functions. It is proved that exactly the functional approach meets the requirements of operation composition when evaluating the readiness of the automation means complexes to solve the functional objectives.When defining failure criteria, authors outline that only local indivisible function can have two states such as operability and inoperability. The common and special functions being multivariate can fail partially and, at the same time, partially operate correctly.Authors present an operational availability factor chosen as a key characteristic of the functional automation means complex readiness to solve functional tasks given to the military authorities. It is defined by the convolution of all common and special control functions included.An approach to evaluate the functional capabilities of automation means complexes under conditions of the sub-system failure flow through efficiency preservation factor is proposed.

Automation means complex, a functional model of automation means complex, control functions, functional system, control function failure, control effectiveness.

2019_ 1

Sections: Automated control systems

Subjects: Automated control systems.



Aleksandr Kupriianovich Ivanov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars, Doctor of Science in Engineering; graduated from the Faculty of Physics of Irkutsk State University, completed his post-graduate studies at Bauman Moscow Higher Technical School and his doctoral studies at Ulyanovsk State Technical University; Chief Staff Scientist at Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of monographs, a manual and articles in the field of mathematical modeling of hierarchical real-time computer-aided control systems. [e-mail: mars@mv.ru]A. Ivanov

Construction and Application of an Analytical Approximation of Three-dimensional Distribution 55_2.pdf

The algorithm and software for solving a three-dimensional distribution problem in the forming of control loops are developed. Experimental research has been carried out. The dependence of the solution time on the dimension of problem determined by the number of control objects, observation means and environmental objects that form control loops has been obtained. A mathematical model of the control loop formation is constructed with the choice of optimal values of the adjustable parameters of control objects and observation means. A solution algorithm is described generally with the optimal distribution being performed at each step of searching the optimal values of adjustable parameters. A solution algorithm is proposed on the basis of an analytical approximation of the three-dimensional distribution, which ensures the practical implementation of high-dimensional problems with restrictions on time. An approximation equation for the three- dimensional distribution is obtained using an analytical approximation of the two-dimensional distribution. The equation was verified with experiments proved that it is possible to use it in high-dimensional problems. A mathematical formulation and an algorithm for solving the problem of control loop formation are given based on the mobility of control objects and observation means.

Control loop, three-dimensional distribution, mathematical model, algorithm for solving, analytical dependence.

2019_ 1

Sections: Automated control systems

Subjects: Automated control systems.



Aleksandr Kupriianovich Ivanov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Doctor of Science in Engineering; graduated from the Faculty of Physics of Irkutsk State University; completed his post-graduate studies at Bauman Moscow Higher Technical School and his doctoral studies at Ulyanovsk State Technical University; Chief Staff Scientist at Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of monographs, articles, and a manual in the field of mathematical modeling of hierarchical real-time computer-aided control systems. [e-mail: mars@mv.ru]A. Ivanov,

Vladimir Aleksandrovich Baboshin, St. Petersburg National Guard Forces Command Military Institute, Candidate of Sciences in Engineering, Associate Professor; graduated from Ulyanovsk Higher Military Command College of Communications; Associate Professor at the Department of Informatics and Mathematics of St. Petersburg National Guard Forces Command Military Institute; an author of articles and inventions in the field of the analysis and synthesis of information systems and mathematical modeling. [e-mail: boboberst@mail.ru]V. Baboshin

Optimal Creation of Control Loops 54_1.pdf

The creation process of control loops in a hierarchical automated control system is determined by a three-dimensional task of optimal distribution of control objects, monitoring software, and environment objects. Different variations of control loops are presented. An algorithm of random searching the optimal distribution of two-dimensional task with control objects and environment objects is described. The analytical approximation of algorithm is given. It was obtained by the orthogonal transformation and was implemented while planning the control objects usage with regard to changing their location in space. Based on the algorithm of the two-dimensional task distribution, the algorithm of random searching the optimal distribution of three-dimensional task for one of the variations when each loop was created by the specified elements that are not included in other loops was developed. Following the results of the undertaken analysis, it was found that task time at high dimensionality could not comply with the dynamic of situation changing. The way of applying the analytical dependence for task time reducing is shown as well as the corresponding algorithm is described. The findings of experimental studies carried out by the use of the developed software are given. The obtained results verify the theory.

Control loop, distribution task, mathematical model, solution algorithm, analytical dependence.

2018_ 4

Sections: Automated control systems

Subjects: Automated control systems, Mathematical modeling.



Aleksandr Nikolaevich Piftankin, FRPC JSC ‘RPA ‘Mars’, Candidate of Science in Engineering; graduatedfromthe Faculty of Mathematics and Mechanics at Ulyanovsk State University; Chief Specialist of FRPC JSC ‘RPA ‘Mars’; an author of papers in the field of process automation of complex radar information processing. [e-mail: mars@mv.ru]A. Piftankin,

Anastasiia Vladimirovna Polovinkina, FRPC JSC ‘RPA ‘Mars’, Candidate of Science in Physics and Mathematics; graduated from the Faculty of Mathematics and Information Technologies at Ulyanovsk State University; Software Engineer at FRPC JSC ‘RPA ‘Mars’; an author of papers in the field of fundamental investigations. [e-mail: mars@mv.ru]A. Polovinkina,

Stanislav Vladimirovich Tokmakov, FRPC JSC ‘RPA ‘Mars’, graduated from the Faculty of Mathematics, Information and Aeronautical Technologies at Ulyanovsk State University; Software Engineer at FRPC JSC ‘RPA ‘Mars’; his research interests include machine learning methods of control systems. [e-mail: mars@mv.ru]S. Tokmakov

Mathematical Model and Algorithm for the Identification Task of Radio- Emitting Objects of Tactical Situation on Data From Ships of Task Force 54_2.pdf

The article presents a mathematical model and algorithm for tasks of radio-emitting objects identification. The identification task partition into component parts is carried out. New approaches to the calculation of the radio-emitting object identification level from geometric and signal features will be found in the article. Authors propose a priority sequence of tasks to be solved based on practice of working with special information. A new mathematical model for constructing the identification evaluation function from signal features is developed. This model is not restricted to the assumption of thelinearity of this function. Algorithms for calculating the threshold values of object identification are presented. An algorithm for the radio object identification is developed under conditions of the computing experiment performed in the MATLAB environment. Following the results of the computing experiment, the algorithm has been defined more exactly, the positive outcomes of using the model have been provided.

Passive radio aids, information identification, object identification level, machine learning method.

2018_ 4

Sections: Automated control systems

Subjects: Automated control systems, Mathematical modeling, Architecture of ship's system.



Iurii Petrovich Egorov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Doctor of Science in Engineering, Professor; graduated from the Faculty of Radioengineering at the Admiral Makarov Leningrad Higher Maritime School of Engineering; Chief Staff Scientist at Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; specializes in the field of macro-design of large-scale information management systems; an author of monographs, articles, inventions in the field of computer-aided control systems design. [e-mail: yupe@mail.ru]I. Egorov,

Anatolii Ivanovich Piatakov, FRPC JSC ‘RPA ‘Mars’, Candidate of Science in Engineering; graduated from the Marshal Budjonny Military Academy of Signal Corps; completed his postgraduate studies ibidem; Chief Specialist of FRPC JSC ‘RPA ‘Mars’; specializes in the field of organization and creation of discrete messages transmitting systems; an author of articles in the field of the automation complexes reliability and data communication. [e-mail: uljanovsk-anatol@mail.ru]A. Piatakov

Optimization of Automated Troop Command and Control System Operation Effectiveness in Terms of Reliability Criterion 53_1.pdf

A right selection between performance evaluation of effectiveness and functioning of automation solutions for automated troop command and control systems (hereinafter referred to as the C2 Systems) is the most important research aspect of its functioning effectiveness. C2 Systems, like any other large hardware and software complexes, have a range of technical features that provide meeting of requirements for these systems. Requirements in its turn are of regulatory nature specified in directive documents on automation of the Armed Forces of the Russian Federation. Reliability is one of the important features that have an impact on effectiveness of C2 Systems functioning. The article deals with a model of estimation of C2 Systems functioning when hardware and software failure. The estimation of C2 Systems effectiveness was demonstrated to refer to deterministic evaluation procedures and it can be represented as a multiplicative convolution of reliability performance. Two approaches to the estimation of effectiveness were unveiled and one of these approaches was chosen on a reasonable basis. The presented techniques allow changing the specific reliability performances of specific hardware and software complexes to a summarized system reliability value pertaining to a target function of the automated complex. The given approach to optimization of automated complexes in terms of cost-effectiveness factor allows to achieve the required performances at minimal costs.

Reliability, reliability evaluation, estimation of effectiveness, reliability of automated systems, reliability performance, retention factor.

2018_ 3

Sections: Automated control systems

Subjects: Automated control systems.



Andrei Feliksovich Zalmarson, the Military Educational-and-Research Centre Naval Academy named after ‘Admiral of the Fleet of the Soviet Union N.G. Kuznetsov’ (Naval Academy), Candidate of Military Sciences; graduated from the Faculty of Radiocommunications of the Higher Naval School of Radioelectronics named after A.C. Popov, Higher Military Officer Training Courses, the Military Educational-and-Research Centre Naval Academy named after ‘Admiral of the Fleet of the Soviet Union N.G. Kuznetsov’ (Naval Academy); Senior Staff Scientist of the Military Educational-and-Research Centre ‘Naval Academy’; specializes in justification of creation and development of military-oriented automated command and control systems; an author of articles and papers in the subject area. [e-mail: ]A. Zalmarson,

Vasilev, Military Educational-and-Research Centre ‘Naval Academy’, graduated from the Faculty of Automated Command and Control Systems of the Higher Naval School of Radioelectronics named after A.C. Popov; Senior Staff Scientist - Deputy Head of the Department of the Military Educational-and-Research Centre ‘Naval Academy’; specializes in justification of creation and development of military-oriented automated command and control systems; an author of articles and papers in the subject area. [e-mail: tanu4a@bk.ru]V. Vasilev,

Mikhail Igorevich Eletskii, Military Educational-and-Research Centre ‘Naval Academy’, graduated from the Faculty of Automated Command and Control Systems of the Higher Naval School of Radioelectronics named after A.C. Popov; Staff Scientist of the Military Educational-and-Research Centre ‘Naval Academy’; specializes in justification of creation and development of military-oriented automated command and control systems; an author of articles and papers in the subject area. [e-mail: m.yeletsky@gmail.com]M. Eletskii,

Stepan Sergeevich Sidorov, Military Educational-and-Research Centre ‘Naval Academy’, graduated from the Faculty of Mathematical Support of Automated Command and Control Systems of the Higher Naval School of Radioelectronics named after A.C. Popov; Head of the Department - Assistant Head in Affairs for National Security Information security of the Military Educational-and-Research Centre ‘Naval Academy’; specializes in information of military-oriented automated command and control systems; an author of articles and papers in the subject area. [e-mail: sidorov_stepan@inbox.ru]S. Sidorov

System-wide Performance Indicators of Automated Command and Control Systems (software-hardware Complexes) 53_2.pdf

A series of articles [1-8] deals with algorithms, criteria, and hierarchical system for performance evaluation of automated command and control systems when developing a complex approach to the evaluation of effectiveness of automated C2 systems and software-hardware complexes. The upper level of performance criteria as well as typical performance indicators in sum have been already analyzed in these publications. The present article considers system-wide performance indicators of automated command and control systems (software-hardware complexes).

Automated control system, criterion, software-hardware complex, feature, system performance, typical performance indicator, effectiveness.

2018_ 3

Sections: Automated control systems

Subjects: Automated control systems.


Maksim Olegovich Beliakov, Joint Stock Company ‘Research-and-Production Enterprise ‘Rubin’, graduated from Penza State University; Software Engineer at Joint Stock Company ‘Research-and-Production Enterprise ‘Rubin’; an author of articles in the field of software development, system analysis. [e-mail: sort@protomail.com]M. Beliakov,

Roman Vadimovich Riabchikov, Joint Stock Company ‘Research-and-Production Enterprise ‘Rubin’, Candidate of Science in Engineering; graduated from Penza State Technological Academy; Software Engineer at Joint Stock Company ‘Research-and-Production Enterprise ‘Rubin’; an author of articles and inventions in the field of system analysis, neural network modeling. [e-mail: starwalker58@gmail.com]R. Riabchikov

Problems of Coordinate Data Translation in the Air Defense Task Force of a Tactical Unit 53_3.pdf

The article deals with problems arising when interchanging the information on aircrafts location in the air defense task force of a tactical unit. Basic factors of coordinate information deviation when transmitting such as delays in communication channel, adjustment error of information sources and data receivers, limitations of information traffic capacity are considered. A concept of common logical coordinate system utility as well as the ways of its creation is proposed. This principle allows to correct errors when coordinate data transmitting which are caused by errors of fire weapon adjustment, it can be of a great importance in the case of navigation equipment failure. A version of coordinate information tracking is proposed, and the scenarios of its application are described. The article considers problems on optimal detection of check point as well as possibilities for extending the accuracy of data transmitted.

Ant-air defense (aad), tactical unit, coordinates, navigation.

2018_ 3

Sections: Automated control systems

Subjects: Automated control systems.


Aleksandr Kupriianovich Ivanov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Doctor of Science in Engineering; graduated from the Faculty of Physics of Irkutsk State University; completed his postgraduate studies at Bauman Moscow Higher Technical School and his doctoral studies at Ulyanovsk State Technical University; Chief Staff Scientist at Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of monographs, articles, and a manual in the field of mathematical modeling of hierarchical real-time computer-aided control systems. [e-mail: mars@mv.ru]A. Ivanov

Distribution Laws of Stochastic Data Volumes on Hierarchical System Objects 53_9.pdf

The article determines analytical dependences of information resource volumes on objects of the hierarchical control system from initial data volumes incoming to the system. The article considers the following variants such as control when initial data is executive orders from an object of high level; and situation data acquisition and analyzing when initial data comes from an object of low level. It is assumed output data volume at each level to be proportional to input data volume. The calculation procedures of distribution laws and numerical characteristics of stochastic data volumes of all objects at known distribution laws of initial data and random conversion ratio of input data into output data are specified. A simulation model of the hierarchical system is created which allows to obtain distribution functions and probability density of stochastic data volumes of all objects based on known numerical characteristics of the initial data. The simulation results are presented that demonstrate the principle possibility of obtaining distribution laws and their approximation by the normal law.

Hierarchical systems, stochastic variables, distribution law, simulating modeling.

2018_ 3

Sections: Mathematical modeling

Subjects: Mathematical modeling, Automated control systems.


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