ADAPTIVE FUZZY LOGIC CONTROLLER FOR MPPT BASED DFIG WIND TURBINE

Document Type : Original Article

Authors

1 Electrical Power and Machines Department, Faculty of Engineering, Suez Canal University, Ismailia 41522, Egypt

2 Egypt

3 Electrical Power and Machines Department, Faculty of Engineering, Menoufia University, Menoufia, Egypt

4 Computer and Control Department, Faculty of Engineering, Suez Canal University, Ismailia 41522, Egypt

5 Associate professor in the Electrical Engineering Department, Faculty of Engineering, Suez canal University, Ismailia, Egypt

Abstract

It is important to use a reliable maximum power point tracking (MPPT) approach to guarantee that wind production systems are fully beneficial. This paper is discussing the operation principle of adaptive fuzzy logic controllers (AFLC) in double fed induction generator wind turbine. The acquired findings attest to AFLC's superiority over traditional PI control systems. The adaptive fuzzy logic controller has more promising results as compared to old PI controller. The investigation has been done by using MATLAB/ SIMULINK 2023a pakage. The proposed controller has less rising time than conventional PI controller by more the 40% and better power tracking by 32.21%. The results of using adaptive fuzzy logic controller revealed fast time response, high rate of convergence, less overshoot, and minimal steady state error compared to those achieved with conventional PI. These indicators are used to show that AFLC is feasible when compared to other controllers with the same WPP.

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