Based on the Research of Compound Control Servo System of Oscillating Mirror

Integrating repetitive control and RBF neural network PID control , a novel control scheme for DC servo system is proposed for the high accuracy of Oscillating Mirrorsystem . The repetitive control is used to improve the steady-state characteristi of the control serosystem and enhance its ability to withstand the disturbance with same frequency; the RBF neural network PID control is used to enhance the ability of the control system to withstand the parameter variations and nonlinear uncertain disturbances, so the dynamic characteristic of the system can be improved. the result of Experiments show that the proposed control scheme can endow the servo system with good dynamic and static characteristics and tracking accuracy was improved,the servosystem can efficiently improve the velocity stability of Oscillating Mirror,and decrease the shocking of motor.