Improving Performance of Variable Speed Wind Turbines using Takagi-Sugeno Fuzzy Controller and LQR Method

  • Mohammad Khayat Department of Mechatronics Engineering , Faculty of Mechanics,Electrical and Computer ,Sciences and Reserches Branch ,Islamic Azad University Tehran , Iran
  • Mohammad Ali Nekoui
Keywords: Variable speed wind turbine, Fuzzy controller, Pitch control, LQR

Abstract

This paper focuses on variable speed wind turbines operation with pitch control. An advanced control strategy is proposed based on linear quadratic regulator and fuzzy controllers in order to improve the performance of the variable-speed wind turbine. The proposed controller is designed to reduce rotor speed variation and optimizing wind turbine power. Wind turbine states are estimated by using fuzzy observer. Moreover, the Takagi-Sugeno fuzzy strategy is used to regulate the rotor speed by controlling the rotation of blades. The proposed method is implemented on MATLAB software by SimWindFarm simulator. Simulation results proved that the fuzzy TS method is appropriate in improving efficiency of wind turbine. Moreover, the proposed method shows better performance compared to the PI controller.

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Published
2020-03-01
How to Cite
Khayat, M., & Nekoui, M. A. (2020). Improving Performance of Variable Speed Wind Turbines using Takagi-Sugeno Fuzzy Controller and LQR Method. Majlesi Journal of Mechatronic Systems, 9(1), 1-10. Retrieved from http://journals.iaumajlesi.ac.ir/ms/index/index.php/ms/article/view/433
Section
Articles