Predictive control of a chaotic permanent magnet synchronous generator in a wind turbine system

doi:10.1088/1674-1056/24/1/010502

Abstract This paper investigates how to address the chaos problem in a permanent magnet synchronous generator (PMSG) in a wind turbine system. Predictive control approach is proposed to suppress chaotic behavior and make operating stable; the advantage of this method is that it can only be applied to one state of the wind turbine system. The use of the genetic algorithms to estimate the optimal parameter values of the wind turbine leads to maximization of the power generation. Moreover, some simulation results are included to visualize the effectiveness and robustness of the proposed method.

Keywords: permanent magnet synchronous generator chaotic system genetic algorithm predictive control

Received: 14 June 2014
Revised: 27 August 2014
Accepted manuscript online:

PACS:	05.45.Gg	(Control of chaos, applications of chaos)
	05.45.-a	(Nonlinear dynamics and chaos)
	02.30.Yy	(Control theory)

Fund: Project supported by the CMEP-TASSILI Project (Grant No. 14MDU920).

Corresponding Authors: Manal Messadi
E-mail: manal.messadi@ensea.fr

Cite this article:

Manal Messadi, Adel Mellit, Karim Kemih, Malek Ghanes Predictive control of a chaotic permanent magnet synchronous generator in a wind turbine system 2015 Chin. Phys. B 24 010502

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Predictive control of a chaotic permanent magnet synchronous generator in a wind turbine system

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