Adaptive Fuzzy Sliding Mode Control for Brushless Double-Fed Wind Power Generation System

Zong Kai Shao; Zhong Rong Duan; Guo Yong Huang

doi:10.4028/www.scientific.net/AMR.977.338

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 977Adaptive Fuzzy Sliding Mode Control for Brushless...

Adaptive Fuzzy Sliding Mode Control for Brushless Double-Fed Wind Power Generation System

Abstract:

For maximum wind power tracking, the adaptive fuzzy sliding mode control is designed based on the method of rotation speed feedback of brushless doubly-fed machine. The adaptive fuzzy system approaches the uncertainties of generation system. A nonlinear integrator sliding mode control strategy is proposed to track the speed of wind. The stability of closed-system is proved using Lyapunov’s method. Finally, the simulation studies are provided to confirm that the rotation speed of brushless doubly-fed machine can fast track the speed of wind. Then the maximum power-point tracking is gotten.

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Periodical:

Advanced Materials Research (Volume 977)

Pages:

338-343

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.977.338

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Online since:

June 2014

Authors:

Zong Kai Shao*, Zhong Rong Duan, Guo Yong Huang

Keywords:

Adaptive Fuzzy System, Brushless Doubly-Fed Machine, Maximum Power Point Tracking (MPPT), Nonlinear Integrator Sliding Mode Control

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References

[1] WU Guoxiang, HUANG Jianming, CHEN Guocheng, et al. A synthetic control strategy for DFIG wind power generation[J]. ELECTRIC MACHINES AND CONTROL, 2008, 12(4): 435-441.

Google Scholar

[2] Zhang Fengge, Jin Shi, Zhang Wu. Direct Torque Control for Brushless Doubly-Fed Wind Power[J]. TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY, 2011, 26(12): 20-27.

Google Scholar

[3] REN Lina, LIU Fucai, JIAO Xiaohong. Hamiltonian modeling and speed-sensorless control for[J]. Control Theory & Applications, 2012, 29(4): 457-564.

Google Scholar

[4] YANG Ping, ZHOU Shaoxiong, HU Bin, et al. Active disturbance-rejection neural networks excitation-control of double-fed induction generator[J]. Control Theory & Applications, 2012, 29(2): 251-256.

Google Scholar

[5] J. Poza, E. oyarbide, I, Sarasola, et al. Vector Control Design and Experimental Evaluation for the Brushless Doubly Fed Machine[J]. IET Electrical Power Applications, 2009, 3(4): 247-256.

DOI: 10.1049/iet-epa.2008.0090

Google Scholar

[6] LIU Qi-hui, HE Yi-kang, ZHANG Jian-hua. Operation Control and Modeling-Simulation of AC-excited Variable-speed[J]. Proceedings of the CSEE, 2006, 26(5): 43-50.

Google Scholar

[7] ZHANG Fengge， JIN Shi. L robust control for brushless double-fed wind[J]. ELECTRI C MACHINES AND CONTROL, 2010, 14(8): 70-74.

Google Scholar

[8] LI Peng, ZHENG Zhiqiang. Sliding mode control approach with nonlinear integrator[J]. Control Theory & Applications, 2006, 28(3): 421-426.

Google Scholar