Servo Control of Fast Steering Mirror Based on Improved Genetic Algorithm

Abstract

In order to improve the control performance of fast reflectors for airborne photoelectric stabilization platform, a control strategy based on improved genetic algorithm is proposed. Based on the traditional PID control, the idea of improved genetic algorithm is introduced to realize the adaptive setting of parameters and effectively improve the servo performance of the fast mirror .The improved genetic algorithm adopts the strategy of random selection without playback remainder in the selection process, and the feasibility of the method is verified by MATLAB\SIMULINK simulation. Experimental and simulation results show that the regulation time of the system is improved by 9.5ms, the tracking error under sinusoidal signal is reduced from 1mrad to 0.5 mrad, and the stability accuracy of the fast mirror under vibration condition is improved by about 5 times after experimental simulation, and the improved genetic algorithm has a better control effect on the fast mirror system. Therefore, the fast reflector based on the improved genetic algorithm can be used as a sub-shaft part of the high precision two-stage stabilization system in the airborne photoelectric stabilization platform.