系统工程与电子技术

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基于模糊变权原理的卫星健康评估方法

李鑫1, 刘莹莹1, 李赣华2, 刘睿1, 周军1   

  1. (1. 西北工业大学精确制导与控制研究所, 陕西 西安 710072;
    2. 西安卫星测控中心宇航动力学国家重点实验室, 陕西 西安710043)
  • 出版日期:2014-03-24 发布日期:2010-01-03

Assessment of satellite health state based on fuzzy variable weight theory

LI Xin1, LIU Yingying1, LI Ganhua2, LIU Rui1, ZHOU Jun1   

  1. (1. Institute of Precision Guidance and Control, Northwestern Polytechnical University, Xi’an 710072, China; 2. State Key Laboratory of Astronautics Dynamics, Xi’an Satellite Control Center, Xi’an 710043, China)
  • Online:2014-03-24 Published:2010-01-03

摘要:

针对航天器健康管理领域中在轨卫星的健康评估问题,提出了基于模糊变权原理的健康状态评估方法,用健康度定量表示健康状态,并以卫星姿态控制系统为例进行了分析。在部件级水平上,采用了基于模糊无量纲化函数和稳定更新过程的健康度计算方法。从部件级到系统级,利用改进的层次分析法(analytic hierarchy process, AHP),结合变权综合原理,建立了姿态控制系统的健康状态层次分析模型,并给出评估计算过程。最后,通过故障仿真的手段进行验证,结果表明该套分析与评估方法对卫星健康管理具有实用价值。

Abstract:

Considering the health state assessment of in-orbit satellites in the field of spacecraft health management, a health state assessment method based on quantitative health degree calculated by fuzzy variable weight theory is proposed and applied to the assessment of the satellite attitude control system (ACS). First, on the component level, a health degree calculation method based on fuzzy dimensionless function and stable update process is presented. And then, on the system level, an improved analytic hierarchy process (AHP) combined with the variable weight synthesizing principle is used for establishing the analytic hierarchy model of ACS health state, and the assessment calculation is also given. Finally, the state analysis and assessment method is verified by means of fault simulation, and the results show that it has practical value for satellite health management.