• DocumentCode
    1709844
  • Title

    Fault parameter estimation for hybrid systems using hybrid bond graph

  • Author

    Low, Chang Boon ; Wang, Danwei ; Arogeti, Shai A. ; Luo, Ming

  • Author_Institution
    DSO Nat. Labs., Singapore, Singapore
  • fYear
    2009
  • Firstpage
    1338
  • Lastpage
    1343
  • Abstract
    In this paper, a Hybrid Bond Graph based fault estimation is developed to estimate faulty parameters. This estimation method is based on a set of unified equations called the Global Analytical Redundancy Relations (GARRs). The developed estimation technique estimates fault parameters that can be linearly or nonlinearly parameterized, and it is formulated as a nonlinear least-square problem. This method is able to estimate the value of the fault parameters of a complex hybrid system even when a mode change occurs after the fault occurrence. Simulation results show that the fault parameters can be estimated effectively using the proposed technique.
  • Keywords
    bond graphs; fault diagnosis; least squares approximations; nonlinear equations; parameter estimation; redundancy; estimation technique; fault estimation; fault occurrence; fault parameter estimation; fault parameters; global analytical redundancy relation; hybrid bond graph; hybrid systems; nonlinear least square problem; Bonding; Continuous time systems; Control systems; Fault detection; Maintenance engineering; Nonlinear equations; Parameter estimation; Redundancy; Safety; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-1-4244-4601-8
  • Electronic_ISBN
    978-1-4244-4602-5
  • Type

    conf

  • DOI
    10.1109/CCA.2009.5281112
  • Filename
    5281112