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  • 标题:Robust H ∞ Proportional-Integral Observer for Fault Diagnosis: Application to Vehicle Suspension ⁎
  • 本地全文:下载
  • 作者:Manh-Hung Do ; Damien Koenig ; Didier Theilliol
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:24
  • 页码:536-543
  • DOI:10.1016/j.ifacol.2018.09.628
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe main contribution of this paper is the design of robustH∞proportional-integral (PI) observer for fault detection, isolation and magnitude estimation, applied for uncertain linear time-invariant (LTI) system. It is based on a combination of PI observer andH∞norm in order to deal with system uncertainty and disturbance attenuation. This multi-objective problem is tackled by the solution of linear matrix inequality (LMI) feasibility problem, obtained from the analysis of estimation errors and the use of majoration lemma. The application to a real suspension system is then presented to highlight the performances of the proposed observer.
  • 关键词:KeywordsObserversFault diagnosisFault detectionUncertain linear systemsSemi-active suspensionRobust estimation
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