基于多模型滚动时域估计的卫星故障诊断  

Fault Diagnosis of Satellite Based on IMM and Moving Horizon Estimation

作　　者：赵石磊[1] 吴丽娜[2] 

机构地区：[1]哈尔滨理工大学软件学院,哈尔滨150040 [2]哈尔滨工业大学卫星技术研究所,哈尔滨150080

出　　处：《空间科学学报》2011年第5期647-652,共6页Chinese Journal of Space Science

摘　　要：研究了卫星姿态控制系统故障诊断问题,将滚动时域估计与交互式多模型(IMM)方法相结合,利用滚动时域估计方法对系统状态进行估计,系统转换慨率也相应地利用了一个时间段的估计误差作为依据.而不是只考虑一个时刻的估计误差,因此有效减少了大噪声以及个别错误测量对诊断结果的影响.最后的仿真结果证明了该算法的有效性.This paper studies the fault diagnosis problems of the satellite attitude control system. Since the satellite works in space, the attitude control system of satellite is easy to be effected by uncertainties and disturbances in the harsh working environment. Interacting Multiple Model （IMM） is one of the effective fault diagnosis methods of the satellite control system but it is subjected to strong noise or wrong data. For this reason, this paper proposes to combine the moving horizon estimation instead of the Kahnan filter with the IMM algorithm. The moving horizon estimation, which adopts not the estimation error of one time but the interval estimation error of a time span, is used to estimate the system states and the transition probabilities. So it could effectively decrease the influences of the wrong data or strong noise. Finally, the mathematical simulation results for diagnosis problem of the satellite attitude control system are presented to show the effectiveness of the proposed scheme.

关 键 词：卫星故障诊断 滚动时域估计 IMM 姿态控制系统 

分 类 号：V467[航空宇航科学与技术—航空宇航制造工程]