CGPC Control of Chaos in a Permanent Magnet Synchronous Motor Using the Gradient Conjugate and the Genetic Algorithm

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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/116856

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DC Field	Value	Language
dc.contributor.author	Messadi, M.	-
dc.contributor.author	Mellit, A.	-
dc.contributor.author	Kemih, K.	-
dc.contributor.author	Ghanes, M.	-
dc.date.accessioned	2015-07-09T12:56:45Z	-
dc.date.available	2015-07-09T12:56:45Z	-
dc.date.created	2014	-
dc.date.issued	2014	-
dc.identifier.citation	Nonlinear Phenomena in Complex Systems. - 2014. - Vol. 17, N 2. - P.186-187	ru
dc.identifier.issn	1561-4085	-
dc.identifier.uri	http://elib.bsu.by/handle/123456789/116856	-
dc.description.abstract	In this paper, a new approach to control the chaos problem in permanent magnet synchronous motor (PMSM) is presented. This approach is based on association of a genetic algorithm to identify the parameter of the CARIMA model, and the constrained generalized predictive control (CGPC) using gradient conjugate method which are applied to control the system to a desired reference. Simulation results demonstrate the eﬀectiveness of the proposed approach.	ru
dc.language.iso	en	ru
dc.publisher	Minsk : Education and Upbringing	ru
dc.rights	info:eu-repo/semantics/restrictedAccess	en
dc.subject	ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика	ru
dc.subject	ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физика	ru
dc.title	CGPC Control of Chaos in a Permanent Magnet Synchronous Motor Using the Gradient Conjugate and the Genetic Algorithm	ru
dc.type	article	en
Appears in Collections:	2014. Volume 17. Number 2

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