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NEURONETWORK IDENTIFICATION OF THE ELECTRIC DRIVE OF A DIRECT CURRENT
Volkov Vladimir Nikolaevich1, Kozhevnikov Alexander Vyacheslavovich2
1Cherepovets state university, Graduate student student of chair of electrical equipment and power industry
2Cherepovets state university, PhD in Technical Sciences, Associate professor of electrical equipment and power industry
1Cherepovets state university, Graduate student student of chair of electrical equipment and power industry
2Cherepovets state university, PhD in Technical Sciences, Associate professor of electrical equipment and power industry
Abstract
Article describes methods of artificial intelligence for the solution of the tasks which are earlier solved by methods of the classical theory of automatic control. The results of experiment confirming efficiency of application of a multilayered recurrent neural network for identification of the DC drive are given. The question of application of a similar method as a part of operating algorithms of control systems is considered by electric drives.
Category: 05.00.00 Technical sciences
Article reference:
Neuronetwork identification of the electric drive of a direct current // Modern scientific researches and innovations. 2013. № 4 [Electronic journal]. URL: https://web.snauka.ru/en/issues/2013/04/23648
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