The variable pitch control of wind turbine is subject to external interference and large parameter changes, resulting in unstable output power, this paper introduces an intelligent control algorithm, adds a fuzzy algorithm on the basis of RBF neural network, and uses fuzzy RBF neural network control to adjust the PID parameters online and in real time.When the actual wind speed is higher than the rated wind speed adjust the blade pitch angle of the fan to change the aerodynamic torque obtained by the fan, make the fan output power stable near the rated power.In this paper, the mathematical model of each module of the fan is established, and the corresponding simulation model is established in the MATLAB/Simulink. According to the experimental results, the control effect based on the above method is better than traditional PID control and conventional RBF neural network PID control, with faster response, less overshoot of wind energy utilization coefficient performance, more stable power output, and more conducive to the system stability of wind turbine.