Fault tolerant navigation method for satellite based on information fusion and unscented Kalman filter  

作　　者：Dan Li Jianye Liu Li Qiao Zhi Xiong 

机构地区：[1]School of Electrical Engineering and Information, Anhui University of Technology, Maanshan 243002, P. R. China [2]Navigation Research Center, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2010年第4期682-687,共6页系统工程与电子技术（英文版）

基　　金：supported by the Aviation Science Foundation(20070852009)

摘　　要：An effective autonomous navigation system for the integration of star sensor,infrared horizon sensor,magnetometer,radar altimeter and ultraviolet sensor is developed.The requirements of the integrated navigation system manager make optimum use of the various navigation sensors and allow rapid fault detection,isolation and recovery.The normal full fusion feedback method of federated unscented Kalman filter（UKF） cannot meet the needs of it.So a no-reset feedback federated Kalman filter architecture is developed and used in the autonomous navigation system.The minimal skew sigma points are chosen to improve the calculation speed.Simulation results are presented to demonstrate the advantages of the algorithm.These advantages include improved failure detection and correction,improved computational efficiency,and reliability.Additionally,its＇ accuracy is higher than that of the full fusion feedback method.An effective autonomous navigation system for the integration of star sensor,infrared horizon sensor,magnetometer,radar altimeter and ultraviolet sensor is developed.The requirements of the integrated navigation system manager make optimum use of the various navigation sensors and allow rapid fault detection,isolation and recovery.The normal full fusion feedback method of federated unscented Kalman filter（UKF） cannot meet the needs of it.So a no-reset feedback federated Kalman filter architecture is developed and used in the autonomous navigation system.The minimal skew sigma points are chosen to improve the calculation speed.Simulation results are presented to demonstrate the advantages of the algorithm.These advantages include improved failure detection and correction,improved computational efficiency,and reliability.Additionally,its＇ accuracy is higher than that of the full fusion feedback method.

关 键 词：autonomous navigation information fusion unscented Kalman filter（UKF） fault detection. 

分 类 号：V448.224[航空宇航科学与技术—飞行器设计] TP13[自动化与计算机技术—控制理论与控制工程]