基于图论的深空探测航天器故障可诊断性评价  

Fault diagnosability evaluation of deep space exploration spacecraft based on graph theory

作　　者：刘文静[1] 李文博[1] 张秀云 刘成瑞[1] LIU Wen-jing;LI Wen-bo;ZHANG Xiu-yun;LIU Cheng-rui(Science and Technology on Space Intelligent Control Laboratory,Beijing Institute of Control Engineering,Beijing 100190,China;School of Electrical Engineering and Automation,Tianjin University,Tianjin 300072,China)

机构地区：[1]北京控制工程研究所,空间智能控制技术重点实验室,北京100190 [2]天津大学电气自动化与信息工程学院,天津300072

出　　处：《控制理论与应用》2019年第12期2074-2084,共11页Control Theory & Applications

基　　金：国家自然科学基金项目(61573060,61673294,61773278)资助.

摘　　要：为了衡量深空探测航天器的自主故障诊断能力,提出基于图论的故障可诊断性评价方法.在对加权有向图进行介绍的基础上,给出强可推导结点、依赖于故障的可推导结点以及解析冗余结点等定义;分别提出故障可检测性和可分离性判据并给出相关证明,考虑深空探测航天器的资源约束问题,研究解析冗余关系优选方法;分析深空探测航天器的故障诊断层次,并对系统级故障诊断能力进行评价;最后,利用深空探测航天器的数学仿真数据对所提方法的有效性进行验证.In order to measure the autonomous fault diagnosis capability of deep space exploration spacecraft, a graphbased fault diagnosability evaluation method is proposed. Based on the introduction of the weighted directed graph, the definitions of strong derivable nodes, fault-dependent derivable nodes, and analytical redundant nodes are given. And then,the fault detectability and isobility criteria are proposed respectively,as well as the relevant proofs. Considering the resource constraint problem of deep space exploration spacecraft,the optimization method of the analytical redundant relationship is studied. The fault diagnosis level of deep space exploration spacecraft is analyzed, and the system level fault diagnosis capability is evaluated. Finally, the effectiveness of the proposed method is validated by the simulation data of the deep space exploration spacecraft.

关 键 词：深空探测航天器 故障可检测性 故障可分离性 解析冗余关系 图论 

分 类 号：V467[航空宇航科学与技术—航空宇航制造工程] O157.5[理学—数学]