As the permanent magnet synchronous linear motor system is running dynamic parameter uncertainties and load disturbances exist such issues, the traditional PID controller can not meet the requirements of high precision servo control system. This design of an optimal PID controller based on genetic algorithm (GA), and through Simulink permanent magnet synchronous linear motor control system modeling and simulation. The simulation and experimental results show that the genetic algorithm (GA) optimization of PID controller and traditional PID controller at the specified speed and load disturbance conditions, compared with better dynamic stability and tracking performance, can effectively inhibit parameter perturbation impact and load disturbance has strong robustness, The results also demonstrate the effectiveness and feasibility of the program.