Assessment of satellite health state based on fuzzy variable weight theory

Xin Li, Ying Ying Liu, Gan Hua Li, Rui Liu, Jun Zhou

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Considering the health state assessment of in-orbit satellites in the field of spacecraft health mana-gement, 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.

Original languageEnglish
Pages (from-to)476-480
Number of pages5
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume36
Issue number3
DOIs
StatePublished - Mar 2014

Keywords

  • Analytic hierarchy process (AHP)
  • Attitude control system (ACS)
  • Fuzzy dimensionless handling
  • State assessment
  • Variable weight synthesis

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