Optimal Controller Design and Simulation Analysis of Inertially Stabilized Platform for Airborne Remote Sensing

In order to isolate interference and, keep the line of sight of imaging load in inertial coordinate system, applying an inertially stabilized platform as a joint between aircraft and load is best choice. But it is difficult to design the controller of inertially stabilized platform for airborne remote sensing, because of its large mass and volume, which results low structural resonance interference. Based on the complex frequency domain analysis of various disturbances, a novel optimal controller design method is put forward. Firstly, the dual loop control structure is obtained by modeling main interference and ignoring the inessential disturbance. Secondly, the configuration of controller is determined considering the complexity and tracking performance. Moreover, constraints conditions are designed after analyzing the nyquist stability criterion and the influence of structural resonance. Finally, objective function about the evaluation index of anti-interference ability is proposed and, the controller optimal design is completed by using genetic algorithm. Simulation experiment is implemented based on a realistic prototype system and, the optimal controller design method is proved simple, effective and practical for engineering using.