• DocumentCode
    2636352
  • Title

    Design of Turbine Engine Robust Fault Detection with LPV Model

  • Author

    Gou, Linfeng ; Wang, Xin ; Chen, Liang

  • Author_Institution
    Sch. of Power & Energy, Northwestern Polytech. Univ., Xi´´an
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    284
  • Lastpage
    284
  • Abstract
    This paper deals with a problem of turbine engine fault detection in dynamic process by using LPV mathematical model to exactly describe turbine engine dynamic characteristics, eliminate the effects of modeling error. Design robust fault detection filter (FDF) with eigenstructure assignment and realizes disturbance de-coupled with model uncertainty. The simulation results of turbine engine control system sensor fault show that this method has good performance in focusing discrimination in fault signal with modeling error, enhancing the robustness to unknown input, detecting accuracy is high and satisfiying real-time requirement.
  • Keywords
    fault location; mathematical analysis; turbines; LPV mathematical model; LPV model; eigenstructure assignment; robust fault detection filter; turbine engine control system sensor; turbine engine design; Control system synthesis; Engines; Fault detection; Filters; Mathematical model; Robustness; Sensor phenomena and characterization; Sensor systems; Turbines; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.221
  • Filename
    4603473