• DocumentCode
    2670175
  • Title

    An optimal design approach to mixed H_ /H∞ fault detection system

  • Author

    Tao, Peng ; Weihua, Gui ; Ding, S.X. ; Qiong, Tang ; Hao, Li

  • Author_Institution
    Hunan Univ. of Technol., Zhuzhou
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    144
  • Lastpage
    148
  • Abstract
    An optimal design approach to fault detection with H_ index and Hinfin norm for linear time invariant systems is proposed. At first a linear full-order observer is constructed and the dynamics of residual generator which involves unknown inputs represented by disturbances, noise, model uncertainty and faults is acquired. The sensitivity of residual to faults is characterized by H_ index, and the robustness of residual to unknown inputs is denoted by Hinfin norm respectively. By using linear matrix inequality (LMI) method, the existence condition of mixed H_/Hinfin fault detection observer gain and its solving approach is derived, which leads to an iterative algorithm for optimal solution. Finally the optimal fault detection system can be achieved with maximal sensitivity to faults and robustness against unknown inputs simultaneously. A numerical example is employed to illustrate the effectiveness of the present approach.
  • Keywords
    Hinfin control; control system synthesis; fault diagnosis; iterative methods; linear matrix inequalities; linear systems; observers; stability; uncertain systems; iterative algorithm; linear full-order observer; linear matrix inequality; linear time invariant systems; mixed H_ /Hinfin fault detection system; optimal design; optimal fault detection system; residual generator; Automatic control; Educational institutions; Fault detection; Information science; Iterative algorithms; Linear matrix inequalities; Noise generators; Noise robustness; Time invariant systems; Uncertainty; Fault detection; Linear matrix inequality; Optimization; Robustness; Sensitivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4605742
  • Filename
    4605742