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

Autor:	Konstantin Vukolov, Igor Savraev, Alexander Kravtsov, Sergei Loginov, Igor Plokhov
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Artificial neural network business.industry Computer science Control system Computer Science::Neural and Evolutionary Computation Magnetic bearing Context (language use) Artificial intelligence Active magnetic bearing neural network the neural network controller transient simulation business
Zdroj:	ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference; Vol 3 (2021): Environment. Technology. Resources. Proceedings of the 13th International Scientific and Practical Conference. Volume 3; 159-162
ISSN:	2256-070X 1691-5402
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05bf3eea4f622fe88e2c33b4fdd451de http://journals.ru.lv/index.php/ETR/article/view/6531 Zobrazit plný text záznamu