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Enhancing the Power Control of Wind Turbines in the Pitch Region Using PSO-Optimized Fuzzy Controller

Mohammad Sadeghi(1), J. Enrique Sierra-García(1), Matilde Santos(2), Lei Ren(3)

1. Department of Digitalization, University of Burgos, Burgos, Spain
2. Institute of Knowledge Technology, Complutense University of Madrid, Spain
3. College of Mechanics and Engineering Science, Hohai University, Nanjing, China

2026-06-27

Wind turbines operate under highly nonlinear and uncertain conditions caused by complex aerodynamics and wind-speed variability, making stable power regulation challenging. This paper proposes a unified pitch control strategy based on a Fuzzy Logic Controller (FLC), whose membership functions and control parameters are optimally tuned using the Particle Swarm Optimization (PSO) algorithm to improve power regulation stability under wind variations. A detailed nonlinear dynamic wind turbine model is developed in MATLAB/Simulink, incorporating spatial and lag filters for enhanced aerodynamic accuracy. Classical PID and fuzzy pitch controllers are designed and compared. The PSO-based tuning is performed using a cost function that accounts for power-tracking accuracy and system stability. Simulation results under constant and time-varying wind conditions show that the proposed PSO-optimized FLC achieves lower tracking error, smoother dynamic response, and improved stability compared with the conventional PID controller. These results demonstrate the effectiveness of the proposed approach for robust wind turbine power control.

Key words: Modeling, Intelligent control, Fuzzy Logic Controller, Particle Swarm Optimization, Wind Turbine.

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