• DocumentCode
    189312
  • Title

    Robust fault detection design for unknown inputs Takagi-Sugeno models with parametric uncertainties and time-varying delays

  • Author

    Ahmadizadeh, Saeed ; Karimi, Hamid Reza ; Zarei, Jafar

  • Author_Institution
    Melbourne Univ., Melbourne, VIC, Australia
  • fYear
    2014
  • fDate
    24-27 June 2014
  • Firstpage
    756
  • Lastpage
    761
  • Abstract
    This paper deals with the design of robust fault detection system for Takagi-Sugeno (T-S) modes with parametric uncertainties and time-varying delay. An Unknown Input Observer (UIO) is designed such that the unknown inputs are thoroughly decoupled from residual signals while they show the maximum possible sensitivity to the faults and the minimum possible sensitivity to the external disturbances. Since the system under consideration is subjected to parametric uncertainties, the H model matching approach is used to design an optimal observer. Design procedure is given in terms of Linear Matrix Inequalities (LMIs). Finally, a numerical example is presented to show the effectiveness of the proposed method.
  • Keywords
    H control; control system synthesis; delay systems; fault diagnosis; fuzzy control; linear matrix inequalities; observers; robust control; time-varying systems; H model matching approach; LMIs; T-S modes; UIO; external disturbances; linear matrix inequalities; maximum possible sensitivity; optimal observer design; parametric uncertainties; residual signals; robust fault detection design; time-varying delays; unknown input Takagi-Sugeno models; unknown input observer; Delays; Fault detection; Observers; Robustness; Sensitivity; Symmetric matrices; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2014 European
  • Conference_Location
    Strasbourg
  • Print_ISBN
    978-3-9524269-1-3
  • Type

    conf

  • DOI
    10.1109/ECC.2014.6862449
  • Filename
    6862449