Optimizing and adjusting the PID control parameters of the servo system is of great significance to the reliability and stability of the system,while in traditional adjustment method,the parameter adjustment time is long,the effect is poor,and the response speed is slow.In order to solve the above problems,a control method for optimizing the parameters of the AC servo system was proposed.Based on the improved PSO algorithm,the inertia weight and learning factor were adaptively adjusted with the change of the number of iterations,and the fitness function was introduced to quickly optimize and adjust the PID controller parameters.The PID parameters adjusting of the servo system based on genetic algorithm (GA),quantum genetic algorithm (QGA) and particle swarm optimization (PSO) were simulated and compared by using MATLAB.The effects of PID controller based on improved PSO algorithm and GA algorithm on the stability of the servo system were tested through experiments.The results show that the improved PSO algorithm is used to optimize and adjust the PID parameters,so that the servo system has the advantages of strong robustness,high stability and small overshoot.