基于多传感器的卫星容错自主导航系统

Satellite's Multi-sensor Autonomous Fault Tolerant Navigation System

在由星敏感器、红外地平仪、雷达高度计、紫外敏感器组成的卫星多传感器容错自主导航系统中,采用容错联邦滤波算法,突出了多传感器系统信息冗余的优势,数据处理速度快,算法计算量小,具有较高的工程实用价值.仿真结果表明,该方案能够获得较高的定轨精度,当1个或多个导航子系统出现故障时,系统能够检测并隔离相应的故障子系统,同时还能利用隔离后的子系统获得局部导航最优解,从而有效提高了卫星导航系统的可靠性和精度.

This paper proposed a satellite autonomous orbit determination system which is composed of star tracker, infrared horizon sensor, radar altimeter and ultraviolet sensor. The fault tolerant federated Kalman filter is used in the system. This algorithm of filter can be easily implemented with low computation cost and high speed. It displays the advantage of information redundancy and has important practical value. The simulation results demonstrate that this method can obtain high orbit accuracy, When one or more sub system is of failure, this scheme can not only detect and isolate the fault system effectively, but also generate the best result of residues. The system＇s reliability and accuracy is improved.