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Fault prognosis approach for satellite attitude control system based on T-S model and time series analysis

  • Hua Song*
  • , Yi Zhang
  • , Maolin Zhang
  • , Jingjing Shen
  • *Corresponding author for this work
  • Beihang University

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

Abstract

A new method based on T-S fuzzy model and time series analysis is proposed for predicting faults in satellite attitude control system. Firstly, satellite attitude control system with nonlinearity and uncertainty is modeled. The residual errors can be obtained by fuzzy parity equation and they are only sensitive to the output of specific actuators (or sensors). Secondly, the time series of the output errors are used to build the autoregressive (AR) model. Therefore, the faults in the satellite attitude control system are predicted by using the AR model. Finally, the results of fault prognosis are given by fault probability. The confidence factor is determined which shows the confidence level of the fault prognosis.

Original languageEnglish
Title of host publication3rd IFAC Conference on Intelligent Control and Automation Science, ICONS 2013 - Proceedings
PublisherIFAC Secretariat
Pages456-461
Number of pages6
EditionPART 1
ISBN (Print)9783902823458
DOIs
StatePublished - 2013
Event3rd IFAC Conference on Intelligent Control and Automation Science, ICONS 2013 - Chengdu, China
Duration: 2 Sep 20134 Sep 2013

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume3
ISSN (Print)1474-6670

Conference

Conference3rd IFAC Conference on Intelligent Control and Automation Science, ICONS 2013
Country/TerritoryChina
CityChengdu
Period2/09/134/09/13

Keywords

  • AR model
  • Confidence factor
  • Fault prognosis
  • Fuzzy parity equation
  • T-S model

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