ISSN 1991-2927
 

ACP № 2 (56) 2019

Author: "Aleksandr Nikolaevich Piftankin"

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, 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.



Andrei Evgenievich Kukin, FRPC JSC ‘RPA ‘Mars’, Postgraduate Student of the Department of Telecommunication Technologies and Networks of Ulyanovsk State University; graduated from the Information Technology Department of UlSU; Software Engineer of FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of software development for automated command and control systems. [e-mail: mars@mv.ru]A. Kukin,

Aleksandr Nikolaevich Piftankin, FRPC JSC ‘RPA ‘Mars’, Candidate of Science in Engineering, ; graduated from the Faculty of Mechanics and Mathematics at UlSU; Chief Specialist of FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automation of fighter aircraft control and action planning. [e-mail: mars@mv.ru]A. Piftankin,

Aleksandr Sergeevich Gutorov, FRPC JSC ‘RPA ‘Mars’, Candidate of Science in Engineering; graduated from the Faculty of Radioengineering of Ulyanovsk State Technical University; Chief Designer of FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of statistical methods for signal processing. [e-mail: mars@mv.ru]A. Gutorov,

Aleksandr Aleksandrovich Lushnikov, FRPC JSC ‘RPA ‘Mars’, Postgraduate Student of Ulyanovsk Civil Aviation Institute named after Air Chief Marshal B.P. Bugaev; graduated from the Faculty of Radioengineering of Ulyanovsk State Technical University; Deputy Chief Designer of FRPC JSC ‘RPA ‘Mars’; an author of articles in the field flight operation safety and automatic flight and traction control of aircraft. [e-mail: a.lushnikov@mail.ru]A. Lushnikov

The Model for Forming the Flight Profile of an Aircraft Using Dynamic Programming Tools 53_10.pdf

The article deals with the process of forming the flight profile of an aircraft. Calculation and selection of the optimal flight profile of aircraft are some of the most common issues in the tasks related to the planning of aviation operations. The flight profile in the coordinates ‘range-altitude’ is a sequence of areas each of which corresponds to a specific program for changing altitude and speed. The construction of the flight trajectory of an aircraft is characterized by the work with a large number of nonlinearly varying dependent parameters and taking into account the restrictions imposed on flights: the permitted echelons of aviation flight altitudes, forbidden zones with unacceptable meteorological conditions, forbidden zones of action of enemy air defenses. These factors make it very difficult to model the specified process. The application of the mathematical apparatus of dynamic programming in solving this problem can allow the most efficient choice of flight modes of aircraft and optimize the process of forming the flight profile as a whole.

Fighter aircrafts, flight profile, optimization algorithm, dynamic programming.

2018_ 3

Sections: Mathematical modeling

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


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

Aleksei Aleksandrovich Murashov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, graduated from the Faculty of Mathematics and Information Technologies of Ulyanovsk State University; Mathematician at FRPC JSC ’RPA ’Mars’; an author of articles in the field of software for automated systems. [e-mail: mars@mv.ru]A. Murashov,

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

Identification of Information Received From Passive Radar Means of Task Force Ships 000_2.pdf

The article considers the mathematical model for identification of information received from passive radar means and construction of a metric form allowing to estimate the degree of different objects identity on the basis of an operator’s experience and algorithms of automatic identification of radar and radio-radar information. While constructing the metric form, machine-learning methods were used, particularly support vector machine. The method and the mathematical model for solving the ambiguity problem of radio-radar information identification based on the obtained mathematical function estimating degree of different objects identity are given. This mathematical model is reduced to the linear programming mathematical model and presented on the basis of standard methods. The computational experiment was performed in Matlab. In the context of the experiment, the algorithm of radio-radar objects identification was developed. With the use of data obtained in the computational experiment, the algorithm specification was hold and the positive result of the model usage was obtained.

Passive radar means, identification of information, objects identity measure, machine-learning method.

2016_ 2

Sections: Automated control systems

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


Ekaterina Vladimirovna Borisova, FRPC JSC RPA ‘Mars’, graduated from the Faculty of Economics and Mathematics of Ulyanovsk State Technical University; Programmer at FRPC JSC RPA ‘Mars’; interested in aircraft action mathematical modeling.[e-mail: mars@mv.ru]E. Borisova,

Andrei Evgenevich Kukin, FRPC JSC RPA ‘Mars’, Post-Graduate Student at the Department of Telecommunication Technologies and Networks at Ulyanovsk State University; graduated from the Faculty of Information Technologies at Ulyanovsk State University; Programmer at FRPC JSC RPA ‘Mars’; an author of articles in the field of the development of software for automated control systems. [e-mail: mars@mv.ru]A. Kukin,

Aleksandr Nikolaevich Piftankin, FRPC JSC RPA ‘Mars’, Mechanics and Mathematics of Ulyanovsk State University; Chief Specialist at FRPC JSC RPA ‘Mars’; an author of publications in the field of fighter aviation planning and control. [e-mail: mars@mv.ru]A. Piftankin

The Model of the Airborne Alert Charting With the Refueling Opportunity 000_10.pdf

The article deals with aircraft control automation during the airborne alert. The task of airborne alert is a part of the task for fighters to provide the air cover of naval force. A modern approach to solving task in aircraft patrol zonation with air-to-air refueling opportunity is used when examining the automation problems. The approach consists in automation of airborne alert charting with the use of optimal mathematical models of alert aircrafts and air- refueling tankers zonation according to the chosen criterion. The dependence of the chosen criterion upon the quality performance of the ship air defense system is demonstrated in the section on problem definition. The approach allows to combine the mathematical models of alert aircrafts and air refueling tankers zonation tasks into the single algorithm. The models use the methods of linear programming mathematical tools. Also the approach allows to improve the automation level of the process providing naval force air defense concerning fighter aviation.

Standing patrol, fighter aviation, distribution, optimization algorithm, refueling.

2015_ 2

Sections: Mathematical modeling

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


Konstantin Konstantinovich Vasiliev, Ulyanovsk State Technical University, Doctor of Engineering, Professor; honoured worker in Science and Engineering of the Russian Federation; correspondent member of Tatarstan Academy of Sciences; graduated from the Faculty of Radioengineering and completed his post-graduation at the LETI; holds the Chair Telecommunications at Ulyanovsk State Technical University; author of monographs, textbooks and articles in the field of statistic synthesis and analysis of information systems [e-mail: vkk@ulstu.ru]K. Vasilyev,

Eduard Dmitrievich Pavlygin, Federal Research-and-Production Association Research-and-Production Association Mars, Candidate of Engineering; Deputy First Director General for Science at Federal Research-and-Production Association Research-and-Production Association Mars; author of articles in the field of statistic methods of signal processing [e-mail: mars@mv.ru]E. Pavlygin,

Nikolay Vladimirovich Luchkov, Federal Research-and-Production Сenter Open Joint-Stock Company Research-and-Production Association Mars, Candidate of Engineering; graduated from the Faculty of Radioengineering and completed his post-graduation at the Chair Telecommunications of Ulyanovsk State Technical University; research engineer at Federal Research-and-Production Сenter Open Joint-Stock Company Research-and-Production Association Mars; author of articles in the field of statistic methods in signal processing [e-mail: nik-lnv@mail.ru]N. Luchkov,

Alexander Nikolaevich Piftankin, Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars, Candidate of Engineering; chief specialist at Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars; author of publications in the field of statistic methods in signal processing [e-mail: mars@mv.ru]A. Piftankin,

Alexander Alexeevich Maslov, Federal Research-and-Production Center Research-and-Production Association Mars, chief designer at Federal Research-and-Production Center Research-and-Production Association Mars; author of articles in the field of statistic methods in signal processing [e-mail: mars@mv.ru]A. Maslov

Creation of Mobile Multi-position Radar System Based Oncommunications Channel Rtk-2 and Modern Methods of Radar Information Processing 30_5.pdf

The article presents an integrated approach to the creation of mobile multi-position radar system, considers algorithms of joint data processing, received from different information sources.

Radiolocation, statistic methods, common information space, detection, identification, evaluation, random field.

2012_ 4

Sections: Mathematical modeling, calculi of approximations and software systems

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


Alexander Nikolaevich Piftankin, Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars, Candidate of Engineering, graduated from the Faculty of Mechanics and Mathematics at the Ulyanovsk State University; chief specialist of Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars; author of publications in the field of automation of fighting-aviation action planning and control. [e-mail: mars@mv.ru]A. Piftankin,

Nikolay Alexanderovich Piftankin, Federal Research-and-Production Center Open Joint-Stock Company 'Researchand-Production Association 'Mars', Graduated from the Faculty of Mechanics and Mathematics at the Lomonosov Moscow State University; chief specialist of Federal Research-and-Production Center Open Joint-Stock Company Researchand-Production Association Mars; author of publications in the field of automation of aircraft planning and control. [e-mail: mars@mv.ru]N. Piftankin

Models and Approaches Used in Tasks of Ship-group Aad Control 23_6.pdf

The article deals with issues of the automation of AAD-control process when covering a surface-ship group. The authors propose to use new approaches to the control process for self-defense of ship and AAD of ship group. The article cites tasks to be solved during the operation of AAD sub-system, their mathematical models, and proposes a new method to build a process of AAD-subsystem operation, indicating its advantages.

Ship group, target tracking, anti-aircraft defense (aad), mathematical models, anti-aircraft facilities, electronicwarfare facilities, fighting aviation, joint engagement, control-process feature.

2011_ 1

Sections: Integrated command and control systems. ships complexes and systems

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


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