ADAPTIVE STARING IMAGING CONTROL OF MICRO-SATELLITE BASED ON TARGET INFORMATION

Due to the narrowness of satellite imaging width and the limitation of location information accuracy, and the lack of accurate geographic information of unknown targets, the remote sensing Micro-Satellite stares planned area and actually obtains less high-value target image information such as ships and aircraft. To solve the problem of staring imaging, this paper proposes a robust adaptive attitude control method based on online image target information extraction and introducing control loop. In this paper, a robust adaptive tracking controller is designed base on estimating and predicting the vector deviation of the moving target relative to the satellite with the Extended Kalman filter. This method uses the double star-sensitive double vector attitude determination algorithm, combined with the vector deviation of the target relative to the image centre pixel. Then the stability of the nonlinear system is proved by Lyapunov method. At last, the mathematical simulation results show that this method can improve the image acquisition of more target information, the target information is concentrated in the central position of the image, and the imaging attitude has a high stability.