APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN THE CONTEXT OF ACTIVE MAGNETIC BEARING CONTROL SYSTEMS

Alexander Kravtsov, Konstantin Vukolov, Igor Plokhov, Igor Savraev, Sergei Loginov

Abstract


The article is devoted to the application of neural network methods and genetic algorithms in solving problems of controlling an electric drive of an active magnetic suspension. The method of rolling moment for eliminating an imbalance is considered. The scheme of the neural network controller and the curves of the transients in the open single-mass electromechanical system and in the system c of the neurocontrollers are presented.


Keywords


Active magnetic bearing, neural network the neural network controller, transient simulation

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References


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DOI: https://doi.org/10.17770/etr2021vol3.6531

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