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Fault-Tolerant Tracking Control of Satellite Using Fuzzy Models under Imperfect Premise Matching

  • Junhui Shen
  • , Jiaqi Lv
  • , Guangsheng Ma
  • , Changli Yu
  • , Dan Feng Sun
  • , Youtao Shen
  • , Tong Liu
  • Harbin Institute of Technology
  • Shanghai Aerospace Control Technology Institute
  • Gas Production Plant 1 of Petrochina Changqing Oilfield Company

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

Abstract

This paper investigates the issue of a satellite's fault-tolerant tracking control using fuzzy models under imperfect premise matching condition. T-S fuzzy models are employed to represent the primitive nonlinear satellite model. In order to obtain more designing room, we consider the membership functions' information when analyzing the system stability using Lyapunov stability theory. Besides, the imperfect premise matching case is considered to further alleviate design conservativeness. In addition to efforts of providing more design flexibility, we propose a kind of fault-tolerant control law for satellite, which is different from conventional ones in independence on fault detection and isolation. A numerical example is given to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publication9th International Conference on Intelligent Control and Information Processing, ICICIP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages86-92
Number of pages7
ISBN (Electronic)9781538658604
DOIs
StatePublished - 2 Jul 2018
Event9th International Conference on Intelligent Control and Information Processing, ICICIP 2018 - Wanzhou, China
Duration: 9 Nov 201811 Nov 2018

Publication series

Name9th International Conference on Intelligent Control and Information Processing, ICICIP 2018

Conference

Conference9th International Conference on Intelligent Control and Information Processing, ICICIP 2018
Country/TerritoryChina
CityWanzhou
Period9/11/1811/11/18

Keywords

  • Satellite attitude control
  • Takagi-Sugeno (T-S) fuzzy system
  • actuator faults
  • fault-tolerant control
  • membership function

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