• DocumentCode
    2177624
  • Title

    Robust observer based fault diagnosis for a class of nonlinear systems with uncertainty

  • Author

    Jiang, Bin ; Staroswiecki, Marcel ; Cocquempot, Vincent

  • Author_Institution
    Univ. des Sci. et Technol. de Lille, Villeneuve d´´Ascq, France
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    161
  • Abstract
    The fault diagnosis problem for a class of nonlinear multiple-input multiple-output (MIMO) systems with uncertainty is investigated. Under some geometric conditions, the system is transformed into two different subsystems. One is in the generalized observer canonical form which is not affected by actuator/component faults, so the nonlinear robust observer for this subsystem can be constructed. The other whose states can be measured is affected by the faults. The observation scheme is then used for actuator/component fault estimation with certain accuracy. Extension to sensor fault diagnosis is also discussed. Finally, a numerical example is used to illustrate the efficiency of the proposed method
  • Keywords
    MIMO systems; actuators; fault diagnosis; nonlinear control systems; observers; sensors; uncertain systems; MIMO systems; generalized observer canonical form; geometric conditions; nonlinear multiple-input multiple-output systems; nonlinear robust observer; robust observer based fault diagnosis; sensor fault diagnosis; uncertain systems; uncertainty; Actuators; Algorithm design and analysis; Fault detection; Fault diagnosis; Linear systems; Nonlinear dynamical systems; Nonlinear systems; Observers; Robustness; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-7061-9
  • Type

    conf

  • DOI
    10.1109/.2001.980091
  • Filename
    980091