北京航空航天大学学报 ›› 2011, Vol. 37 ›› Issue (5): 510-514.

• 论文 • 上一篇    下一篇

基于FDDPB方法的卫星姿态控制系统故障诊断

王新升1, 马磊1, 梁斌2   

  1. 1. 北京航空航天大学 宇航学院, 北京 100191;
    2. 哈尔滨工业大学 空间智能系统研究所, 哈尔滨 153001
  • 收稿日期:2010-03-08 出版日期:2011-05-30 发布日期:2011-05-30
  • 作者简介:王新升(1973-),男,黑龙江伊春人,讲师,xswang@buaa.edu.cn.
  • 基金资助:

    国家863计划资助项目(2007AA704340;2007AA704115)

Fault diagnosis for satellite attitude control system based on FDDPB

Wang Xinsheng1, Ma Lei1, Liang Bin2   

  1. 1. School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
    2. Space Intelligence System Institute, Harbin Institute of Technology, Harbin 153001, China
  • Received:2010-03-08 Online:2011-05-30 Published:2011-05-30

摘要: 针对卫星姿态控制系统故障诊断问题,将执行机构及输出传感器的阶跃型和缓变型输出偏差统归于一种"参数偏差"型故障,介绍了改进的参数偏差型故障的实时检测与诊断 (FDDPB,Fault Detection and Diagnostics of Parameter Bias)算法,说明了此算法在卫星姿态控制系统执行机构和传感器故障诊断中的应用.引入卫星姿态动力学模型和飞轮模型,建立了算法仿真模型,选取执行机构阶跃型和缓变型故障作为故障注入条件,将该算法用于实验验证.仿真结果表明:该算法能够检测出系统发生的故障,且能够准确估计出故障幅值.

Abstract: For satellite attitude control system fault diagnosis, step type and slow drift type output bias of actor and sensor were considered as parameter bias fault. Fault detection and diagnostics of parameter bias(FDDPB) algorithm and its application on actor and sensor of satellite attitude control system were introduced. The simulation models were proposed after describing satellite attitude dynamics model and wheel model. Simulations were finished on the assumption that step type fault and slow drift type fault occurred. Simulation results show that FDDPB algorithm could detect system fault and was able to estimate fault amplitude accurately.

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