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The node selection of satellite attitude control system based on sensitivity function in Bayesian network

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to improve efficiency and save limited storage space for on-orbit fault diagnosis system, the node selection problem of satellite attitude control system based on the sensitivity function in Bayesian Network is investigated. First, the Bayesian Network model of the satellite attitude control system is established based on expert experience and historical fault data, so that to reduce the complexity and uncertainty of the system. Then, through analyzing the importance of each node, a node selection algorithm is proposed through using Bayesian sensitivity function, which can greatly improve the reliability and fault diagnosis performance of the whole system. Finally, numerical computation results show that the proposed algorithm is efficient and has the potential to be used in practice.

Original languageEnglish
Title of host publicationProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7047-7051
Number of pages5
ISBN (Electronic)9781467397148
DOIs
StatePublished - 3 Aug 2016
Event28th Chinese Control and Decision Conference, CCDC 2016 - Yinchuan, China
Duration: 28 May 201630 May 2016

Publication series

NameProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016

Conference

Conference28th Chinese Control and Decision Conference, CCDC 2016
Country/TerritoryChina
CityYinchuan
Period28/05/1630/05/16

Keywords

  • Bayesian Network
  • Node Importance Analysis
  • Node Selection
  • Satellite Attitude Control System
  • Sensitivity Function

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