Autonomous Navigation for Deep Spacecraft Based on Celestial Objects

摘要：

In order to reduce the operation cost of the deep space missions, a new autonomous navigation algorithm based on the observed images information of different celestial objects is proposed. First，it uses the directional data from the moon and the earth sensors to determine the initial orbit information of the explorer by geometrical method. Then combination with the observation from the star tracker, a real-time autonomous navigation for the spacecraft is accomplished via UD factorization Extended Kalman Filter (UD-EKF). Performance and robustness of the algorithm are verified by numerical simulations. The results demonstrate that the algorithm is feasible.

作者: Min Song Yunbin Yuan

作者单位: Institute of Geodesy and Geophysics,Chinese Academy of Sciences,Wuhan 430077,China;Graduate Universi Graduate University of Chinese Academy of Sciences,Beijing 100039,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 985-988

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）