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JRM Vol.28 No.6 pp. 921-927
doi: 10.20965/jrm.2016.p0921
(2016)

Paper:

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Adaptive Integral Sliding Mode Control via Fuzzy Logic for Variable Speed Wind Turbines

Yan Ren*1,*2,*3, Chuanli Gong*3, Dekuan Wang*3, and Dianwei Qian*4

*1China Three Gorges Corporation
No.1 Yuyuantan South Road, Haidian District, Beijing 100038, China

*2North China University of Water Resources and Electric Power
No.1 Jinshui East Road, Zhengzhou 450045, China

*3China Institute of Water Resources and Hydropower Research
A-1, Fuxing Road, Haidian District, Beijing 100038, China

*4School of Control and Computer Engineering, North China Electric Power University
No.2 Beinong Road, Changping District, Beijing 102206, China

Received:
April 24, 2016
Accepted:
October 11, 2016
Published:
December 20, 2016
Creative Commons License
Keywords:
sliding mode control, fuzzy logic, wind turbine, uncertainty, linearization
Abstract
Concerning variable speed wind turbines, this study suggests a control scheme that combines integral sliding mode control (I-SMC) and fuzzy logic. The control task is to maintain the output power at the rated value for variable operating points. Wind turbines suffer from serious nonlinearities that challenge the control task. To attack the issue, the nonlinear turbine model is linearized at some typical operating points. Then, pitch-angle and generator-torque controllers based on the linearized turbine models are formulated by the I-SMC approach. Meanwhile, a fuzzy inference system is designed to weight those controllers. Not only the scheme can stabilize nonlinear wind turbines, but also the control system is robust to resist wind-speed variations. Some results are presented to show the performance of the control scheme.
Schematic of a wind turbine

Schematic of a wind turbine

Cite this article as:
Y. Ren, C. Gong, D. Wang, and D. Qian, “Adaptive Integral Sliding Mode Control via Fuzzy Logic for Variable Speed Wind Turbines,” J. Robot. Mechatron., Vol.28 No.6, pp. 921-927, 2016.
Data files:
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Last updated on Nov. 04, 2024