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  • 标题:Robust Fault Estimation based on Interval Takagi-Sugeno Unknown Input Observer
  • 本地全文:下载
  • 作者:C. Martínez García ; V. Puig ; C.M. Astorga-Zaragoza
  • 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:508-514
  • DOI:10.1016/j.ifacol.2018.09.624
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper proposes a discrete-time robust fault estimation scheme based on an interval Takagi-Sugeno Unknown Input Observer (UIO). The designed observer allows the interval estimation of states and faults by considering that the uncertainty is modelled in a deterministic bounded context. Furthermore, in the observer design, the effect of uncertainty is minimized using theH∞criterion using a LMI formulation. The proposed estimation scheme allows not only to provide the nominal value for states and faults but also an uncertainty interval where they should lie. A permanent magnet DC motor is used as a case study to assess the proposed approach.
  • 关键词:Keywordsfault estimationTakagi-Sugeno systemsinterval observerunknown input observerDC motor
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