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Hybrid neural networks in cyber physical system interface control systems

Сергей Соколов, Anton Zhilenkov, Sergei Chernyi, Anatoliy Nyrkov, Nikolay Glebov

2020Bulletin of Electrical Engineering and Informatics24 citationsDOIOpen Access PDF

Abstract

The calculation and results of simulation of the magnetic control system for the spacecraft momentum are presented in the paper. The simulation includes an assessment of the reliability of calculating the Earth's magnetic field parameters, as well as an assessment of the quality of object stabilization by resetting the total momentum with the aid of the system under review. The outcome of a comparative analysis of resource efficiency and energy efficiency are demonstrated in the implementation of the proposed hardware models of controllers on FPGA. The strengths and weaknesses of the programming models are shown. The developed models will allow to be modified and perform more complex operations in the future.

Topics & Concepts

Cyber-physical systemReliability (semiconductor)Artificial neural networkInterface (matter)Strengths and weaknessesComputer scienceSpacecraftField-programmable gate arrayQuality (philosophy)Momentum (technical analysis)Control systemControl engineeringSystems engineeringEngineeringEmbedded systemArtificial intelligenceAerospace engineeringElectrical engineeringOperating systemPhilosophyPhysicsBubbleEconomicsMaximum bubble pressure methodPower (physics)EpistemologyFinanceQuantum mechanicsElectric Power Systems and ControlAdvanced Data Processing TechniquesEngineering Education and Technology
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