系统工程与电子技术

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基于状态记忆的航天器自主故障诊断方法

金洋1, 王日新2, 徐敏强2   

  1. 1. 中国民航大学航空工程学院, 天津 300300;
    2. 哈尔滨工业大学深空探测基础研究中心, 黑龙江 哈尔滨 150080
  • 出版日期:2015-05-25 发布日期:2010-01-03

Spacecraft autonomous fault diagnosis method based on state memory

JIN Yang1, WANG Ri-xin2, XU Min-qiang2   

  1. 1. College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China;
    2. Deep Space Exploration Research Center, Harbin Institute of Technology, Harbin 150080, China
  • Online:2015-05-25 Published:2010-01-03

摘要:

针对基于传统第一原理理论的诊断方法中,由于忽略了自主诊断时历史诊断结果对当前诊断的影响而导致无谓消耗大量计算量的问题,提出了新的诊断方法。通过在传统的方法中引入状态记忆机制,扩展了诊断与冲突的含义。根据诊断解的结构分析了基于第一原理诊断方法中诊断解的分布,并利用分析结果证明了新的诊断方法在效率上优于传统的诊断方法。通过引入“时间戳”和“状态锁”,使得诊断方法能够自主地处理遥测数据在不同输入方式下的诊断问题。

Abstract:

In order to avoid the unnecessary consumption of large amount of calculation caused by neglecting the influence of the last diagnostic result on the current diagnosis process in the traditional first principle theory based method when autonomous diagnosing, a new approach based on the state memory is proposed. By introducing the state memory mechanism into the traditional method, the meanings of diagnosis and conflict are extended. In order to obtain the general conclusions about diagnosis solution of the first principle diagnosis theory, the structure of the diagnostic results is analyzed, and the conclusions prove that the diagnosis efficiency of the new method is better than the traditional method. By introducing the “timestamp” and “statelock”, the method can diagnose correctly with different input modes of observation autonomously.