Application of satellite platform angular velocity prediction based on Kalman filter in optical image stabilization system

Abstract

With the rapid advancement of space astronomical observation technology, there is an increasing demand for higher camera imaging quality. The micro-vibrations generated by internal disturbances of the satellite platform are the primary factors affecting encircled energy of disc of confusion in star image point. The traditional optical image stabilization system compensates for the disturbance by acquiring the variation of the centroid coordinates of the image point as an error feedback of the system, which has the problems of obvious lag and insufficient rapid response ability. To overcome the problem, a method based on optical image stabilization system for predicting angular velocity was proposed and on the basis of measuring the angular velocity of the Satellite bus as the error feedback of the systemin this paper. The measured data are predicted using a combination of current statistical model (CS) and Kalman filtering algorithm. The simulation results in MATLAB demonstrate that the image stabilization system's line of sight stabilization is better than1".It is shown that the method proposed in this paper has feasibility in the optical image stabilization system, the proposed algorithm has the characteristics of high robust and low computing load, and can accurately and effectively predict the vibration information of satellite platform in advance, and provide help for the rapid implementation of vibration suppression measures.