ISSN 0236-235X (P)
ISSN 2311-2735 (E)


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Publication date:
16 March 2021

Articles of journal № 4 at 2019 year.

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Public date | Title | Authors

21. Fuzzy expert evaluations of adverse external impacts on the marine search and rescue operations effectiveness [№4 за 2019 год]
Authors: V.V. Kochnev , A.S. Rekhov , Sorokin V.E., E.V. Taranukha
Visitors: 2084
The paper considers using fuzzy expert evaluations of adverse external impacts upon effectiveness of various marine search and rescue operations. According to existing methodology evaluation of search and rescue operation effectiveness is cal-culated according to a mathematical model under ideal external conditions. Further it is adjusted by the probability of pairwise independent and joint events of adverse external influences for various types of activities of forces and means of a search and rescue operation, which are characterized by certain un-favorable factors with empirically determined weights (significances) decreasing the efficiency. Ab-sence of gradations for most adverse factors makes evaluation significantly rough. To overcome this fact it is proposed to abandon weights and assess the level of exposure to adverse factors using fuzzy multi-valued verbal expert evaluations. To implement such a transition, linguistic variables of adverse factors impacts are introduced. Their term-sets are determined on the basis of a person’s known abili-ties to distinguish gradations in verbal evaluations. The values of term-sets (fuzzy sets at which maxi-mum membership functions are achieved) carrier base scale are correlated with the available weights (significance) of adverse factors. The paper provides a practical example of fuzzy expert evaluation of adverse factors influence on search and rescue operation effectiveness under the assumption that the adjacent gradations of verbal evaluations by a person are equidistant and that the values on the carrier’s base scale are equal to zero in the absence of adverse factors. The use of widespread normalized triangular membership functions allows effectively evaluating and adequately adjusting the values of search and rescue operation effec-tiveness under the influence of adverse factors even with a small amount of initial data in the form of weights (significance) of adverse factors. Significant simplicity of expert choice deffuzzification im-plementation is achieved provided that the value on the base scale of the carrier can refer to no more than two adjacent terms of the linguistic variable. On the other hand, the proposed approach to use fuzzy expert evaluations can easily be adapted to detail or expand the initial data in the form of weights of adverse factors, and can also serve as the basis for further development of methods for as-sessing search and rescue operations effectiveness.

22. . Industrial technologies states management based on risk criterion [№4 за 2019 год]
Authors: S.R. Bakasov , G.N. Sanaeva , Bogatikov V.N.
Visitors: 1937
The present paper is devoted to the study of conceptual formulation of the industrial technologies state management problem. It considers managing a potentially hazardous technology for selective treatment of tail gases from production of non-concentrated nitric acid. This is a practical application of the state management idea. In this application state management is closely connected with industrial systems safety management. One of the problems in the synthesis of industrial technologies safety management systems is the presence of uncertainty both in the knowledge of physicochemical processes and in the uncertainty as-sociated with the influence of random disturbances. This gives rise to the development of new methods for the synthesis of technological safety management systems, as well as to the improvement of exist-ing ones. As a consequence of the above factors, methods for implementing goal-setting mechanisms and revising control quality criteria become a promising approach for this kind of dynamic processes occurring in poorly structured and poorly formalized environments. These methods rest upon funda-mental background knowledge. Various types of defects are reflected in technological processes state variables. Violations can be caused by defects in control systems, process equipment and violations in the technological process itself. All kinds of damage in the technological system (non-compliance with the requirements of source materials, non-compliance with the requirements of regulatory and tech-nical documents and the human factor) lead to similar results. This indicates both the complexity of di-agnosing procedure and the complexity of forming criteria to assess states. At the present time from a management point of view, a technological safety system is a multi-level hierarchically organized technological system. The main goals of such systems are to timely detect malfunctions and to take measures to eliminate their root causes. The paper considers multi-level or-ganization of the technological safety system. As a practical application of the proposed approach the paper considers multi-level organization of the technological safety system for the process of selective treatment of tail gases from the production of weak nitric acid. Authors propose the main technology management criterion (a risk criterion for conducting the technological process) and the impulse model of the criterion. Management is based on predictive management. The developed system allowed not only to increase economic indicators, but also to reduce air pol-lution.

23. Algorithm for identifying parameters of a liquid heating device [№4 за 2019 год]
Authors: Lgotchikov V.V., T.S. Larkina
Visitors: 2846
The paper discusses the algorithm for identification of parameters of a liquid heating device used to prepare, pasteurize and conserve agricultural products. Control part of the device uses a microcontroller, which suggests new consumer properties - im-proved quality of the processed product. Liquid heating device parameters are identified programmati-cally. The authors selected two identification parameters: active electric power released in the second-ary body and heat capacity of the liquid medium. These parameters cannot be directly measured with the help of sensors. Identification is made using the Eickhoff algorithm adapted to the process. Performance of the algo-rithm is confirmed by MATLAB simulation results. The model identifies subsystems that solve equa-tions of electro- magnetic and thermal balance for individual elements of the device, control loops of the temperature control system and the process of identifying parameters. It was discovered that the mathematical model with lumped parameters is a sufficient basis for im-proving the algorithm of the device with the control part. It was implemented on the basis of a micro-controller. The proposed modification of the Eickhoff identification algorithm showed good perfor-mance in the field of identifiable quantities of different sizes. Regression dependencies were obtained, which allow implementing the strategy for adjusting the software part. The choice of gain coefficients of the residual signal amplification curves for unobservable process parameters was made easier for known quantization periods of the observed feedback signals.

24. Modeling and analysis of programs for multidimensional interval-logic controllers [№4 за 2019 год]
Authors: A.F. Antipin , E.V. Antipina
Visitors: 2556
The paper examines special software designed for modeling the operation of multidimensional fuzzy interval-logic controllers and analysis of their programs for programmable logic controllers. They can be used at enterprises of chemical, oil and oil refining industries in the development of automatic con-trol systems by technological processes and objects that do not have adequate mathematical models. The relevance of software development arises from the lack of application programs designed to simu-late operation of fuzzy controllers according to available experimental data. The software described in the paper allows calculating the necessary and sufficient number of pro-duction rules and the number of critically important rules that make up a production system. In addi-tion, according to available initial data obtained as a result of experiments, it is possible to create fuzzy models of multidimensional fuzzy interval-logic controllers. The paper presents the results of a computational experiment in creating a fuzzy model of multidi-mensional fuzzy interval-logic controllers and analyzing their programs for programmable logic con-trollers, during which the main parameters of this type of controllers were calculated: the maximum number of production rules that make up the production system; the total number of terms and the number of critically important terms for each variable; the total number of variable groups and the number of critically important variable groups; the maximum number of production rules, the number of critical production rules for each of variable groups and the actual number of critical rules that make up the production system. Based on calculation results, conclusions were drawn regarding the complexity of a production sys-tem for multidimensional fuzzy interval-logic controllers and about how to achieve the required calcu-lation accuracy.

25. The algorithm for forming many options of a supercomputer structure to solve military applied problems [№4 за 2019 год]
Authors: Ya.N. Gusenitsa , D.O. Petrich
Visitors: 2257
The paper justifies the necessity of creating and applying supercomputers for military applied prob-lems. It presents the rationale to develop a qualitatively new scientific and methodological apparatus for substantiating supercomputer architectures based on the principles of unification, complexation and integration, which provides maximum performance. There is a description of a supercomputer architecture using the model of a computer association including its structure and algorithm. It is shown that a supercomputer structure should be a software-indivisible hardware resource in the computing process organization. Therefore, it is advisable to form a supercomputer structure according to the principle of modular scalability from the same basic mod-ules (computing clusters) that, on the one hand, have structural limitations, and on the other hand, must be formed for specific military-applied tasks. Each computing cluster includes a balanced number of elementary processors and memory units combined using a fully accessible fast channel system and capable of implementing basic sets of various tasks. The presented algorithm, unlike the existing ones, is based on using the graph spectrum when gen-erating many communication structures between computing clusters, as well as elementary processors in the composition of computing clusters. This significantly reduces the computational complexity of forming many variants of a supercomputer structure. As a result, the proposed algorithm can be used to justify architectural decisions when creating new supercomputers, as well as to justify the allocation of computing resources for solving military applied problems on existing supercomputers.

26. The method of fuzzy controllers automatic synthesis [№4 за 2019 год]
Authors: V.V. Ignatyev , V.V. Solovev , A.A. Vorotova
Visitors: 3297
The paper presents the method of fuzzy controllers automatic synthesis based on the measured data. In the course of fuzzy controllers development for technical facilities management systems issues arise related to choosing the number of linguistic variable terms, to determining the type of member-ship functions and to creating the rule base. These issues are solved with the help of experts, but this process is quite labour-intensive and time-consuming. One of possible solutions can be automatic crea-tion of fuzzy controllers based on the measured data, which can be taken from a real management sys-tem or from a simulation model. Authors of the paper developed the structure of control/management system in MatLab Simulink al-lowing to take input and output signals of the controller during simulation process and save them to a file as an array. They also developed an approach to analyze data arrays in order to determine parame-ters of input and output variables of a fuzzy controller and a data clustering mechanism that allows creating a database of fuzzy rules. After analyzing the data arrays, the rules in the database can either be completely duplicated or have the same antecedents and different consequents, which leads to uncertainty. In this regard, the al-gorithm is proposed for eliminating completely duplicate rules from the database and for averaging the rules with different consequents. Software has been developed in the MatLab environment, which al-lows taking the initial data from the technical facility management system with a PI control law, per-forming clustering and parameterization of input and output signals, and creating a rule base and re-duce it. The suggested method of fuzzy controllers automatic synthesis can be used to create controllers that will replace traditional management laws with intellectual ones.

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