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.

A Fuzzy-PID Controller for the compensation of the Direct-axis current component in the flux-weakening control system of the Permanent Magnet Synchronous Motor (PMSM) is proposed in this paper. The output torque of PMSM falls down when it operates in the high-speed as the reason of its parameters variation. In order to minimize the influences from the armature reaction, the quadrature-axis current reference component and its deviation with the detection value are chose as the inputs of the Fuzzy-PID controller, and output of the Direct-axis compensation value is obtained as the setting value of the current regulator. The proposed control method is implemented in the experimental platform based on TI DSP chip, the experiment results demonstrate that the strategy adopted in this paper can improve the performance of torque effectively.

The online programming for the track control of the experimental dolly is implemented here by analyzing the motion model for two-wheeldriven dolly and using the program processing principle and online programming method used on numerical control machine,and a designing manner is also presented,which is aimed for controlling the track of the two-wheel robot dolly.

A kind of constrained linear quadratic regulator subject to inequality constraints on the input and states is proposed. An algorithm is presented, which requires solving a finite-dimensional positive definite quadratic program. The constrained Linear quadratic regulator is applied to a chemical engineering process, which achieves better performance than other forms of MPC.