• DocumentCode
    2173019
  • Title

    Fault detection of affine hybrid systems using finite memory observers

  • Author

    Kajdan, Rudy ; Kratz, Frederic ; Aubry, Didier

  • Author_Institution
    Lab. de Vision et Robot., ENSI Bourges, Bourges, France
  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    1030
  • Lastpage
    1037
  • Abstract
    The purpose of this paper is to design a finite memory observer for fault detection of a class of hybrid systems. The hybrid FMO observer is decomposed in two stages: the discrete observer and the continuous observer which estimate the mode and the continuous state vector respectively. Using the past output measurements and the model equations, state and mode estimation is expressed as a minimization problem. In the fault detection approach, we focus about residuals generation using two different approaches. The performances of the proposed method for state estimation and fault detection is illustrated through numerical simulations on a simulated benchmark two-tanks system whose equations are linearized.
  • Keywords
    continuous systems; discrete systems; fault diagnosis; minimisation; observers; tanks (containers); affine hybrid systems; continuous observer; continuous state vector; discrete observer; fault detection approach; hybrid FMO observer; minimization problem; mode estimation; model equations; numerical simulations; output measurements; simulated benchmark two-tanks system; state estimation; tmnite memory observer design; Benchmark testing; Equations; Fault detection; Mathematical model; Observers; Vectors; Fault detection/accommodation; estimation; hybrid systems; observers for linear systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2007 European
  • Conference_Location
    Kos
  • Print_ISBN
    978-3-9524173-8-6
  • Type

    conf

  • Filename
    7068994