Adaptive Fuzzy Logic Controller For Maximum Power Point Tracking of DFIG Wind Turbine

• Published in: 2023 24th International Middle East Power System Conference (MEPCON) pp. 1 - 5
• Main Authors: Elnaghi, Basem E., Abdel-Wahab, M.N., Ismaiel, Ahmed M., Abdel-Kader, Fathy Elsayed Ahmed, Mohammed, Reham H.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 19-12-2023
• Subjects: Adaptive Fuzzy Logic Controller; Conventional PI; Double fed induction generator; Fuzzy logic; Maximum power point trackers; PI control; Production systems; Steady-state; Wind power turbine; Wind speed; Wind turbines
• DOI: 10.1109/MEPCON58725.2023.10462263

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 package. 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, minimal steady state error, and less overshoot 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.