Maximum Power Point Tracking of Permanent Magnet Synchronous Generator-Based Wind Power Systems Using an Anti-Windup Adaptive Fuzzy Logic Controller: Simulation and Experimental Validation

This article introduces an adaptive fuzzy logic controller with an anti-windup mechanism (AFLC-AW) for enhancing dynamic control of permanent magnet synchronous generator (PMSG)-based wind power plants (WPPs). The proposed controller imposes maximum power point tracking (MPPT), reactive power control, and DC-link voltage regulation while mitigating actuator saturation and improving transient behavior. AFLC-AW’s performance is compared with proportional integral (PI), PI with anti-windup (PI-AW), and adaptive fuzzy logic controllers (AFLCs). AFLC-AW mitigates oscillations and overshoots. PMSG based on WPP is emulated and modeled with the Matlab/Simulink 2026a software. An experimental study was conducted using the Dspace DS 1104 control board in order to verify the simulation results. Results demonstrate that AFLC-AW provides faster tracking, lower overshoot, improved damping, and higher steady-state accuracy under varying wind conditions. Rotor-speed tracking performance improves by 64.32%, 40.36%, and 32.63% compared with PI, PI-AW, and AFLC, respectively. The AFLC-AW reduces the mean of six IAEs by 16.16% compared to the PI-AW, 5.89% relative to the AFLC, and 22.34% in comparison with the conventional PI controller. These results confirm that AFLC-AW enhances tracking accuracy while providing a practical control solution for efficient energy extraction and stable grid integration of PMSG-based wind energy systems.