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title

Anti-control of Chaos of Unknown Permanent Magnet Synchronous Motor System Using Dynamic Neural Networks

Credit to Download: 1 | Page Numbers 6 | Abstract Views: 1559
Year: 2011
Present: شفاهي
COI code: ISCEE14_167
Paper Language: English

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Authors Anti-control of Chaos of Unknown Permanent Magnet Synchronous Motor System Using Dynamic Neural Networks

Farzaneh Akhgari - Department of Electrical and Computer Engineering
Zahra Rahmani -
Behrooz Rezaie -

Abstract:

In this paper, the anti-control of chaos of unknown permanent magnet synchronous motor (PMSM) system is presented. Generating chaos in the completely unknown systems is studied for the first time using neural networks, while a chaotic system is considered as the reference model. By assuming the structure of the PMSM unknown, the dynamic neural networks (DNN) are applied for modelling the system, while an adaptive learning law is obtained for updating the neural network weights. In order to chaotify the motor system, a control law is designed such that the unknown system and the derived model using DNNs, track the desired chaotic reference model. The stability of the resulting error dynamics and the convergence of the tracking errors to zero are proved by the Lyapunov stability theory. The numerical simulation results show the effectiveness of method.

Keywords:

Anti-control of chaos, Dynamic neural networks, Adaptive control, Chua chaotic system,Permanent magnet synchronous motor system

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COI code: ISCEE14_167

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Akhgari, Farzaneh; Zahra Rahmani & Behrooz Rezaie, 2011, Anti-control of Chaos of Unknown Permanent Magnet Synchronous Motor System Using Dynamic Neural Networks, 14th Iranian Student Conference on Electrical Engineering, كرمانشاه, دانشگاه كرمانشاه, سازمان علمي دانشجويي مهندسي برق كشور, https://www.civilica.com/Paper-ISCEE14-ISCEE14_167.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Akhgari, Farzaneh; Zahra Rahmani & Behrooz Rezaie, 2011)
Second and more: (Akhgari; Rahmani & Rezaie, 2011)
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