Aimed at the inconvenience of manual tuning parameters of PID controller commonly used in servo system, machine learning algorithm and fuzzy control were researched. The back propagation (BP) algorithm and design methods of fuzzy controller were emphatically analyzed. A PID parameter tuning method based on machine learning algorithm and fuzzy control was proposed. The learning ability of BP neural network was used to get the system model, and the PID parameters were predicted by combining with the fuzzy control, which were verified on the experimental platform. The results indicate that the PID parameters obtained by using machine learning and fuzzy control have better control effect. By using this method, it can avoid manual tuning of PID parameters and save a lot of time.