Due to factors such as wind variability and randomness, the power output of wind turbines remains unstable. When the wind speed exceeds the rated wind speed, the stability of the wind power generator’s output power is guaranteed by precisely regulating the pitch angle of the blades. In relation to this issue, a wind turbine pitch control model is built by Matlab/Simulink, and a whale algorithm-optimized fuzzy PID controller is introduced. However, there are many parameters of fuzzy controller, and it is difficult to set up by expert experience alone. Therefore, using the whale algorithm, and achieving optimal tuning of fuzzy parameters, effectively addressing the wind turbine’s significant hysteresis and nonlinearity. Comparing the performance metrics of the PID controller and the fuzzy PID controller, and the simulations results show that the latter ensures rapid power convergence to rated values, enhances system dynamic response, and offers precise pitch angle adjustments. Moreover, the fuzzy PID controller precision minimizes pitch mechanism fatigue, and extends the wind turbine’s lifespan.