ISSN 1991-2927
 

ACP № 3 (57) 2019

'Automation of Control Processes' # 1 (55) 2019

Contents
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: This email address is being protected from spambots. You need JavaScript enabled to view it. ]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: This email address is being protected from spambots. You need JavaScript enabled to view it. ]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: This email address is being protected from spambots. You need JavaScript enabled to view it. ]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: This email address is being protected from spambots. You need JavaScript enabled to view it. ]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.


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.


INFORMATION SYSTEMS

Aleksei Sergeevich Katasev, Kazan National Research Technical University named after A.N. Tupolev-KAI, Candidate of Science in Engineering; graduated from the Faculty of Physics and Mathematics of the Elabuga State Pedagogical Institute; Associate Professor of the Information Security Systems Department of the Kazan National Research Technical University named after A.N. Tupolev-KAI; an author of scientific works in the field of mathematical modeling, data analysis and development of intelligent decision support systems. [e-mail: Kat_726@mail.ru]A. Katasev

Neuro-fuzzy Model and Software Complex for Automation of Forming Fuzzy Rules for Objects State Assessing 55_3.pdf

This article deals with the task of objects state assessing in uncertainty. To solve it, the need to use of fuzzy knowledge bases and fuzzy inference algorithms as part of fuzzy expert systems is being actualized. As a tool for a knowledge base formation, a neuro-fuzzy model is proposed. The proposed type of fuzzy rules and the logical inference algorithm on the rules for object state assessing are described. A structure of a fuzzy neural network consisting of six layers is proposed, each of which implements a corresponding stage of the logical inference algorithm. As a result of learning a fuzzy neural network, a system of fuzzy rules is formed, which make up the knowledge base for object state assessing. On the basis of the proposed neuro-fuzzy model, a software complex was implemented for automating the processes of forming fuzzy rules. The main components of the software complex are the knowledge base generation module and the fuzzy inference module. As an approbation of the neuro-fuzzy model, the formation of fuzzy rules for water lines state assessing at the pumping stations in reservoir pressure maintenance systems has been carried out. The results of the testing confirmed the high efficiency of the neuro-fuzzy model and the possibility of its practical use for the formation of fuzzy rules in various subject areas.

Neuro-fuzzy model, fuzzy neural network, fuzzy rules formation, knowledge base, object state assessment, decision-making support.


Natalia Nikolaevna Baranova, Ulyanovsk Instrument Manufacturing Design Bureau, JSC, graduated from the Faculty of Mechanics and Mathematics of Ulyanovsk State University; Leading Information Security Engineer at Ulyanovsk Instrument Manufacturing Design Bureau, JSC; an author of articles in the field of information security. [e-mail: natasha_bn@mail.ru]N. Baranova,

Iurii Vladimirovich Orlov, Novouralsk National Research Nuclear University of MEPhI, graduated from the Faculty of Mechanics and Mathematics of Ural State University; Senior Lecturer of the Department of Physics and Mathematics of Novouralsk National Research Nuclear University of MEPhI; an author of articles in the field of simulation and analyzing of random processes. [e-mail: orlove79@yandex.ru]I. Orlov

The Reliability of a Modular Information Security System in Instrument-making Enterprises 55_4.pdf

The article presents a modular approach to the design of information security system in an instrument-making enterprise. It is proposed to assess the reliability of the designed information security system in three stages. The method for evaluating the reliability of a modular information security system at a given amount of work performed in an instrument-making enterprise as well as a method for the system behavior evaluation when increasing the amount of work are described. Methods for assessment of the information security threat performance probability, the damage probability upon detection and non-detection of the performed threats as well as for the calculation of the system reliability are considered. The method for calculating the reliability of the modular information security system when performing of several similar tasks is presented. The importance of fragmentation of modules under the influence of security threats and the impact of this approach on the overall reliability of the system in an instrument-making enterprise are shown.

Modular information security system, reliability of information security system, information security, information security threats.


Aleksandr Viacheslavovich Mikheev, Ulyanovsk Regional Center of New Information Technologies of Ulyanovsk State Technical University, graduated from Ulyanovsk State Technical University; Software Engineer at the Ulyanovsk Regional Center of New Information Technologies of Ulyanovsk State Technical University; his research interests include machine learning. [e-mail: a.miheev@simcase.ru]A. Mikheev,

Kirill Valerevich Sviatov, Ulyanovsk State Technical University, Candidate of Science in Engineering; graduated from Ulyanovsk State Technical University; Dean of the Faculty of Information Systems and Technologies at UlSTU; an author of 40 articles, 3 monographs, 1 textbook, and 4 State Registration Certificate of the Computer Program; his research interests are in the field of machine learning and robotics. [e-mail: k.svyatov@ulstu.ru]K. Sviatov,

Daniil Pavlovich Kanin, Ulyanovsk State Technical University, a student of the Faculty of Information Systems and Technologies of the Computer Science Department at Ulyanovsk State Technical University, a winner of robotics competitions; his research interests are in the field of machine learning. [e-mail: dan-kan@mail.ru]D. Kanin,

Sergei Vladimirovich Sukhov, Ulyanovsk Branch of the Kotel’nikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences, Candidate at Science in Physics and Mathematics; graduated from the Ulyanovsk Branch of Lomonosov Moscow State University; Senior Researcher at the Ulyanovsk Branch of the Kotel’nikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences; an author of one monograph, 70 articles, and 2 patents for inventions; his research interests are in the field of optics, computational neurobiology, machine learning [e-mail: ssukhov@knights.ucf.edu]S. Sukhov,

Vadim Georgievich Tronin, Ulyanovsk State Technical University, Candidate of Science in Engineering; graduated from Ulyanovsk State Technical University; Associated Professor at the Department of Information Systems of UlSTU; an author of 50 articles, 1 textbook; his research interests are in the field of project management and theory of inventive problem-solving. [e-mail: v.tronin@ulstu.ru]V. Tronin

The Scene Segmentation in the Tasks for Self-driving Vehicle Navigation By Using Neural Network Models With Attention 55_5.pdf

The article deals with the designing process of software module for the road signs recognition. This module is designated for the use in the automated control system of self-driving vehicles and is being developed at Ulyanovsk State Technical University.The creation of the training dataset sufficient to train neural network models is one of the major tasks to be solved when creating computer vision systems for self-driving vehicles. In this case, the preparation of a large sample in the semantic scene segmentation task may require considerable efforts for “manual” labeling. Authors describe a convolutional network model with a soft attention mechanism. This network is trained in the classification task with the possibility of extracting an attention mask from the internal network state, which can be used for the semantic image segmentation. This approach allows to reduce data-labeling costs significantly.

Artificial intelligence, neural networks, machine learning, computer vision, attention networks.


COMPUTER-AIDED ENGINEERING

Petr Ivanovich Sosnin, Ulyanovsk State Technical University, Doctor of Science in Engineering, Professor; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Head of the Department of Computer Engineering at Ulyanovsk State Technical University; his scientific interests are in the field of applied intelligent systems. [e-mail: sosnin@ulstu.ru]P. Sosnin,

Sergei Sergeevich Shumilov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, graduated from the Faculty of Radioengineering of Ulyanovsk State Technical University; Chief Designer at FRPC JSC ‘RPA ‘Mars’; his scientific interests are in the field of computer-aided design systems. [e-mail: mars@mv.ru]S. Shumilov,

Aleksandr Evgenievich Ivasev, Ulyanovsk State Technical University, graduated from the Faculty of Information Systems and Technologies of UlSTU; Postgraduate Student at UlSTU; his scientific interests are in the field of computer-aided design systems. [e-mail: nevskei@yandex.ru]A. Ivasev

An Architectural Approach to the Precedent-oriented Problem Solving in the Designing of Automated Systems 55_6.pdf

The article presents an approach to architectural modeling focused on its use for the development of functional components of an automated system (AS), each of which is associated with the solution of a specific design task. To ensure the independence of the application of the approach from the domain of the AS, its implementation is associated with the creation of the subsystem TASK, which expands the potential of the instrumentally modeling environment OwnWIQA, which serves to solve design tasks in the workplace of a member of the design team. The specificity of the toolkit includes the formation for the solved task its reusable model (model of precedent), which is included in the Experience Base used in the design process of a certain AS or their family. The subsystem TASK was developed in the OwnWIQA as its application using the executable pseudo code language embedded into this toolkit. The constructed version of the subsystem TASK is interpreted by the authors as a prototype, the reprogramming of which will be conducted in C #.

Architectural modeling, precedent model, design task, prototype.


Aleksandr Nikolaevich Afanasev, Ulyanovsk State Technical University, Doctor of Science in Engineering, Professor; graduated from the Radioengineering Faculty at Ulyanovsk Polytechnic Institute; First Vice-Rector, Vice-Rector for Distance and Extended Education at Ulyanovsk State Technical University; an author of more than 250 articles in the field of CAD; interested in automated training systems, computational process and computer structure organization, intelligent system design, CAD, composite workflow control, graphic language diagrammatics. [e-mail: a.afanasev@ulstu.ru]A. Afanasev,

Nikolai Nikolaevich Voit, Ulyanovsk State Technical University, Candidate of Science in Engineering; graduated from the Faculty of Information Systems and Technologies at Ulyanovsk State Technical University; Associate Professor at the Department of Computer Science of Ulyanovsk State Technical University, Deputy Director for Distance and Extended Education at Ulyanovsk State Technical University; an author of more than 180 articles in the field of intelligent CAD systems, CASE and CALS Technologies; interested in intelligent development systems of complex computer-aided systems, automated training systems, graphical languages and grammatics. [e-mail: n.voit@ulstu.ru]N. Voit,

Segrei Iurevich Kirillov, Ulyanovsk State Technical University, graduated from the Faculty of Information Systems and Technologies at Ulyanovsk State Technical University; Postgraduate Student at the Department of Computer Science at Ulyanovsk State Technical University, Head of the Scientific Research Department of the Institute of Distance and Extended Education; an author of more than 20 articles in the field of CAD; interested in graphical languages diagrammatics, models and methods of workflow analysis and control, development and introduction of hardware and software of support, intensification and improvement of trainee involvement in educational process. [e-mail: kirillovsyu@gmail.com]S. Kirillov

Automation of Workflow Design in an Industrial Enterprise 55_7.pdf

Increasing of the automated workflow synthesis systems efficiency is the fundamental scientific problem of the business process management theory. The problem includes such subtasks as processing in order to reduce the time spent on their development, increasing the success of processing diagram models, namely the implementation of the requirements for resource constraints, functionality, financial component and deadlines, as well as improving the diagram models quality in terms of error control, narrowing the semantic gap between business process analysis and execution.In the article, an approach to the analysis of workflow diagram models on the basis of temporal automatic grammar with linear analysis time is proposed. The approach allows to control and analyze structural-semantic and temporal errors. The results of the research represent that the approach has significant advantages over similar methods of analysis. The effectiveness of this analytical approach is proved by concrete real and relevant examples.

Workflows, business-process, grammar, visual language.


Anatolii Alekseevich Saratov, Interactive Computer-Aided Design Systems, LLC, Candidate of Science in Engineering; graduated from Tula Polytechnical Institute; completed his postgraduate studies at the Engineering Cybernetics Institute of the Academy of Sciences of Belarus; Director of Interactive Computer-Aided Design Systems, LLC (INTERSAP, city of Tula); an author of articles in the field of a structurally-parametrical synthesis of the systems by decomposition methods. [e-mail: sapford@tula.net]A. Saratov

The Coordination of Manufacturing Cycles By the Method of Mutual Penalties 55_8.pdf

The article deals with an algorithm of the product manufacturing cycle coordination implemented in the SAPFORD system when planning the make-to-order production. MES-Systems well-known in the Russian market, which are intended for the machine scheduling calculation and based on branching schemes, are not effective for the plant scheduling in real time. When scheduling design problem solving, author shows that the specific details of the machine scheduling of make-to-order manufacturing allow using the effective methods like task decomposition, co-ordination of the sub-task criteria against each other and with the universal criterion of optimality. The make-to-order manufacturing scheduling task is broken to subtasks of the detail and process distribution through workplaces with preset parameters in a reasonable amount of time. The criterion estimation of the cost-push during delay or abnormal end of the operation is calculated for each operation. The method of the mutual penalties allows to implement the coordination of subtask criteria, whereby details and operations engaged in competition in queue impose to each other penalties like estimation of costs caused by delay. The proposed algorithm provides an effective planning of the make-to-order manufacturing based on a unified machine scheduling with no limits on initial data scope for product range and manufacturing processes. The favourable environment is created for paralleling the problem solving process, which in turn allows to use all the multiprocessor system resources. Author gives examples for problem solving.

Machinescheduling, method of mutual penalties, sapford-system.


Andrei Alekseevich Pertsev, 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; Head of a department of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of articles in the field of the implementation of management information and control system. [e-mail: mars@mv.ru]A. Pertsev,

Aleksandr Nikolaevich Podobrii, 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 in the field of the implementation of management information and control system. [e-mail: mars@mv.ru]A. Podobrii

Production Planning of the Machine-building Enterprise 55_9.pdf

The article deals with an approach to the automated production planning of design organization that manufactures machine- building equipment calculating the assembly-unit manufacturing sequence based on the average duration performance of the technological operations and the electronic structure of the product. The manufacturing duration of all the assembly units is determined. The time margin of the technological operations implementation is calculated on the basis of the assembly unit critical-path method.A model of product manufacturing is described. An algorithm of work centers planning with a set of restrictions used in the calculations is presented. Operating rate is analyzed as well as production capacity of production departments is calculated on the basis of a statistical estimation of the manufacturing schedule in previous periods and product campaign. The software implementation of the plan is presented in the form of an interactive web resource, which uses the method of constructing summary tables.

Production planning, critical path, diagram network, small-scale production, project manufacturing, machine-building, production capacity, statistics of operation implementation, shift-day production planning.


MATHEMATICAL MODELING

Aleksei Arkadevich Smagin, Ulyanovsk State University, Doctor of Science in Engineering, Professor; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Head of the Department of Telecommunication Technologies and Networks of Ulyanovsk State University; an author of articles, inventions, and monographs in the field of information system development of different purposes. [e-mail: smaginaa1@mail.ru]A. Smagin,

Iulia Aleksandrovna Radionova, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Science in Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University; finished her postgraduate study at Ulyanovsk State Technical University; Lead Programming Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storages, and statistical analysis of supplier appraisal. [e-mail: julia-owl@mail.ru]I. Radionova,

Sergei Aleksandrovich Karpaev, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Postgraduate Student; graduated from Ulyanovsk State Technical University; Production Control System Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of the business software automation and short-term production planning. [e-mail: neonix3000@mail.ru]S. Karpaev

Operating-resource Model of Technological Operations Distribution Based on the Implementation Means 55_10.pdf

The article is devoted to the actual topic of designing route maps. At the heart of the route maps, the route for performing technological operations at the production site is laid. In the production process, production is often stopped due to imperfections in the route map, one of the reasons for which is the change of resources.In the article it is proposed to carry out the design of the technological route according to the proposed principles with the use of a two-pass two-component model as an increase in the productivity of the production process. The methodology is based on the principle of selecting the means for implementing technological operations on the basis of two interacting models, which make it possible to cover the process more fully from the point of view of resource provision and the performance of a technological operation using the example of chemical production.The proposed model allows the designer to choose the route of the technological process from the set of proposed options. An algorithm for designing and implementing a model in automated systems is presented.The offered algorithms allow to form design decisions, it gives the chance of their use for the subsequent processing and definition of efficiency.Formed by different criteria, technological routes provide many variants of the solutions obtained. The offered provides efficiency of improvement of quality of technological processes due to use of means of information support of maintenance of a set of operations close to an optimum choice of technical means of realization.

Algorithm for designing design solutions, tool support, mathematical model, design methodology, operational- resource model, design of route maps of technological processes, technological processes, chemical production.


Marina Vitalevna Samoilenko, Moscow Aeronautical Institute, Candidate of Science in Engineering; graduated from Moscow Aeronautical Institute and Moscow Institute of physics and Technologies; Associate Professor at Moscow Aeronautical Institute (of National Research University); an author of articles, monographs and inventions; scientific interests are in the field of signal and image processing. [e-mail: Samoi.Mar@mail.ru]M. Samoilenko

Reconstruction of the Point Spatial Coordinates in the Case of Normal Stereo Photography 55_11.pdf

The article presents a solution for the problem of a point spatial coordinates reconstructing in a base coordinate system by its two stereo images. Author solves the problem for the case of identical cameras application which optical axes are mutually parallel and orthogonal to the stereoscopic basis. This taking photo is called in photogrammetry as a normal photographing. Author provides a computational simplicity of a point spatial position recovery algorithm. But in classical photogrammetry this computational simplicity is provided only under additional restrictions: cameras should locate at the same height, images should be horizontal and the base of stereoscopy - parallel to the horizontal axis of the base coordinate system. For another camera positions, it will be necessary to use additional spatial similarity transforms which complicate computations.Solution presented in the article differs from the photogrammetric method by its universality: neither additional conditionsare imposed to the positions of the cameras and images. And at the same time, it has computational simplicity comparable with the photogrammetric method of normal photography with additional restrictions. Methodologically, decision presented in the article is based completely on the application of vector-matrix approach from the problem formulation up to the final result. Structurally, it differs from the photogrammetric method by its symmetry with respect to of the cameras and images parameters: cameras are equivalent when determining a point spatial coordinates, while the photogrammetric solution is based on the coordinates on one image, the other one is used for the scaling factor determination.The universality of the presented solution and its computational simplicity are proved by the results of computer experiments.

Stereo images, point spatial coordinates, central projecting, vector-matrix equation, photogrammetry, normal photographing.


Dmitrii Vladimirovich Ganin, Nizhny Novgorod State University of Engineering and Economics, Candidate of Science in Economics; graduated from the Nizhny Novgorod Academy of Agricultural Sciences; Vice-Rector for Research and Innovation Affairs, Associate Professor at the Department of Information and Communication Technologies and Communication Systems of the Nizhny Novgorod State University of Engineering and Economics; an author of articles and patents of the Russian Federation in the field of error-correcting coding and data recovery systems. [e-mail: ngiei135@mail.ru]D. Ganin

Permutation Decoding in the System of Coherent Networks 55_12.pdf

The principle of matching high-speed optical communication systems at the data link layer using permutation decoding of redundant codes is considered. The expediency of such an approach is proved when applying the cognitive data processing procedure. Author indicates the parameters of such systems. Considering the widespread use in data exchange systems and in automatic control systems, in computing systems and similar computing devices of non-binary noise-resistant Reed- Solomon (RS) codes, a subtle analysis of the complexity of decoding such codes using the permutation method is carried out. The estimation is made according to the number of code vectors of elementary arithmetic operations performed in the decoding procedure. Two approaches are compared: firstly, the classical principle of decoding RS codes, secondly, the permutation decoding method using a cognitive map. It is shown that the results obtained for rearrange decoding can be generalized for other code structures, including those implemented on the basis of binary codes. Various approaches to the formation of soft solutions for non-binary symbols of RS codes are presented and a likelihood ratio method is proposed which is based on comparing the obtained sequence of estimates of a non-binary code symbol with some predetermined reference set of estimates. The expediency of using the analyzed method in a number of important applied areas is proved.

Coherent network, non-binary redundant code, cognitive map, fast matrix transformations.


Vladimir Kuzmich Manzhosov, Ulyanovsk State Technical University, Doctor of Science in Engineering; graduated from the Engineering Faculty of Frunze Polytechnic Institute; Professor at the Department of Industrial and Civil Engineering of Ulyanovsk State Technical University; an author of articles, monographs, inventions in the field of dynamics of machines, impact processes modeling. [e-mail: v.manjosov@ulstu.ru]V. Manzhosov,

Aleksandr Anatolevich Samsonov, Ulyanovsk State Technical University, graduated from the Dimitrovgrad Institute of Technology, Management and Design of ULSTU; Postgraduate Student of Ulyanovsk State Technical University; an author of articles and patents in the field of creation of mechanisms of various technological purposes. [e-mail: tpm@ulstu.ru]A. Samsonov

The Functioning of the Lever Mechanism for Automated Capture of Solid 55_13.pdf

The article is devoted to the problem of functioning of the lever mechanism in the automated capture of a solid body. In technological systems such mechanisms are used to lift and move solid cylindrical bodies. The task of the mechanism is an ability to hold a solid body due to friction forces in the capture zone. Friction forces in the contact zone of the driven link with the surface of the body exclude the possibility of breaking the connection between the solid and the driven link. The gripping force depends on the magnitude of the driving force and the parameters of the lever mechanism gripper. The model of the lever mechanism of capture is constructed. The ratio of the force at the leading link and the arising normal reaction in the contact zone of the driven link with the cylindrical surface is established. The influence of the mechanism parameters on the ratio of these forces is determined. The zones at which the force ratio reaches the lowest values are shown.

Model of lever mechanism, automated capture, friction forces, angle of motion transmission.


ELECTRICAL ENGINEERING AND ELECTRONICS

Viacheslav Andreevich Sergeev, Ulyanovsk Branch of the Kotelnikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences, Doctor of Science in Engineering, Professor; graduated from the Faculty of Physics of Gorky State University; Director of the Ulyanovsk Branch of the Kotelnikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences; Head of the Department of Radioengineering, Opto- and Nanoelectronics of Ulyanovsk State Technical University; an author of monographs, papers in the field of the modeling and researching semiconductor devices and integrated circuits parameters and measure of its thermal parameters. [e-mail: sva@ulstu.ru]V. Sergeev,

Ruslan Gennadievich Tarasov, Research-and-Production Association ‘NPP ‘Zavod Iskra’ JSC, graduated from the Ulyanovsk High Military Engineering School of Communications; Director of Research-and-Production Association ‘NPP ‘Zavod Iskra’ JSC; Postgraduate Student at the Department of Radioengineering, Opto- and Nanoelectronics of Ulyanovsk State Technical University; an author of papers in the field of development of analytical quality control methods and automated measurement tools of semiconductor devices. [e-mail: rgtarasov@mail.ru]R. Tarasov,

Aleksandr Aleksandrovich Kulikov, Ulyanovsk Branch of the Kotel’nikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences, graduated from the Faculty of Radioengineering of Ulyanovsk State Technical University; Lead Engineer at the Ulyanovsk Branch of the Kotel’nikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences; Postgraduate Student at the Department of Radioengineering, Opto- and Nanoelectronics of Ulyanovsk State Technical University; an author of papers in the field of development of semiconductor devices automated measurement tools. [e-mail: ufire@mv.ru]A. Kulikov

The Quality Diagnostics of Output Power Amplifiers of the Apaa Transceiver Modules By Temperature Fields 55_14.pdf

A structural diagram of Transmit/Receive modules (TRM) of Active Phased Array Antennas X-band is briefly reviewed and it is shown that the quality of TRM is largely determined by the build quality of the most critical node - submodules of output power amplifiers (OPA) with two parallel-connected monolithic integrated circuits (MIC) microwave amplifiers. The structure and the operation of the measuring stand for monitoring the main electrical and energy parameters of the OPA, as well as the temperature fields of printed circuit boards of the OPA submodules using an OptoTherm infrared (IR) microscope are given. Selective distributions of the OPA submodules by energy parameters showed that the quality of the OPA is determined to a large extent by the quality of the microwave paths and the build quality. When examining the temperature fields of printed circuit boards of OPA submodules using an IR microscope, which did not pass the output power control, when using OPA in nominal and more severely dissipated power modes, it was established that up to 75% of assembly defects and passive circuits of OPA submodules appear in local overheating of submodule elements. In particular, a strong (with a coefficient of ~ 0.8) negative correlation is observed between the output power level and the overheating temperature of the balanced resistor in the output power adder. A detailed analysis of the causes of local overheating of OPA elements showed that up to 40% of the detected defects can be eliminated by adjusting the installation. The remaining 60% of defects of the OPA submodules are probably determined by the quality of the elements themselves.

Apaa transceiver modules, submodules of output power amplifiers, measuring stand, output power, temperature fields, diagnostics, defects.


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