Aiming at the nonlinear characteristics and uncertain disturbance of the AC servo system of permanent magnet synchronous motor, as well as the linear limitations of traditional PID controllers, a speed control strategy based on the wavelet neural network PID based on whale optimization algorithm (WOA) is proposed. The wavelet neural network and incremental PID controller are combined to form the speed controller of permanent magnet synchronous motor, and the whale optimization algorithm is used to further optimize the parameters. The experimental results show that the stability time obtained by the proposed method is 0.029s, the maximum overshoot is 73 r/min, and the speed error after applying torque is 0.002, so the dynamic performance and anti-interference ability of the control strategy in this paper have certain advantages.