Конфигурирование и разработка модели искусственной нейронной сети для системы управления системой энергоснабжения космических аппаратов в условиях неопределенных факторов
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Configuration and development of artificial neural network model for spacecraft power supply system control system under the conditions of uncertain factors

Loginov I.V.,  Burkovsky V.L.,  Netesov G.A. 

UDC 004.89
DOI: 10.26102/2310-6018/2023.41.2.016

  • Abstract
  • List of references
  • About authors

The paper considers uncertain factors that can lead to abnormal situations in the control system of the power supply system of a spacecraft. Certain factors that can be predicted as well as factors whose influence can be accounted for when designing the control system and building control algorithms are highlighted. Uncertain factors that can be predicted using the intellectualization of electric power distribution control system have been identified. Elements of the system the reliability of which can be improved by applying intelligent control system and the prediction of abnormal situations on the basis of artificial neural networks have been identified. The analysis of existing control algorithm for power supply system has been carried out. By means of the telemetry parameters used in this algorithm, selected telemetry parameters for use in the intelligent control system of the power supply system have been identified. The criterion for an emergency situation the occurrence of which must predict the artificial neural network is defined. The configurations of artificial neural networks which can be used as a foundation for intelligent control system of power supply system of a spacecraft are considered. The problem of available training data sample optimization for training the artificial neural network is regarded. Suitable methods for the optimization of neural network training in the context of the specifics of the problem are considered. A specific configuration of artificial neural network, mindful of the specifics of application and the heterogeneous nature of the training data sample, is proposed.

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Loginov Ivan Vladimirovich

Voronezh State Technical University
Concern Sozvezdiye JSC

Voronezh, The Russian Federation

Burkovsky Victor Leonidovich
Doctor of Technical Sciences, Professor

Voronezh State Technical University

Voronezh, The Russian Federation

Netesov Grigory Andreevich

Orbita JSC
Voronezh State Technical University

Voronezh, The Russian Federation

Keywords: spacecraft power supply systems, regulation and control equipment, neural networks, intellectualization, forecasting systems

For citation: Loginov I.V., Burkovsky V.L., Netesov G.A. Configuration and development of artificial neural network model for spacecraft power supply system control system under the conditions of uncertain factors. Modeling, Optimization and Information Technology. 2023;11(2). URL: https://moitvivt.ru/ru/journal/pdf?id=1366 DOI: 10.26102/2310-6018/2023.41.2.016 (In Russ).

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Full text in PDF

Received 28.04.2023

Revised 14.05.2023

Accepted 06.06.2023

Published 30.06.2023