A speed control strategy of permanent magnet synchronous motor (PMSM) based on wavelet neural network PID was proposed. According to the change of system operation parameters, a threelayer feedforward artificial neural network was used to update the PID parameters. It trained the PID parameters online based on gradient descent correction error method in real time. Wavelet neural network and incremental PID were used to construct the speed loop controller. The mathematic model of PMSM was established. The speed loop controller of PMSM was designed. The S function was constructed to simulate the control algorithm, which verified the progressiveness of the control algorithm. The experimental results showed that the proposed control strategy had better dynamic performance and antiinterference ability than traditional PID speed control.