• DocumentCode
    3018952
  • Title

    Fuel cell diagnosis using Takagi-Sugeno observer approach

  • Author

    Olteanu, S.C. ; Aitouche, A. ; Oueidat, Mohamad ; Jouni, A.

  • fYear
    2012
  • fDate
    28-29 Nov. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper, a model based fault diagnosis is proposed as a way to diagnose sensor faults in fuel cell systems. The model-based fault detection is achieved by comparing the residuals to a specified threshold. The observer has to be designed to facilitate faults isolation. The approach for sensor fault isolation based on dedicated observer´s scheme is applied to isolate sensor pressure manifold faults of fuel cell system. The gains of observers are obtained by assuring certain conditions to the state estimation error by resolving the Linear Matrix Inequalities equations.
  • Keywords
    fuel cells; linear matrix inequalities; observers; sensors; Takagi-Sugeno observer approach; fuel cell diagnosis; fuel cell system; linear matrix inequalities equations; model based fault diagnosis; sensor fault isolation; sensor faults diagnosis; sensor pressure manifold faults; state estimation error; Computational modeling; Fuel cells; Hydrogen; Manifolds; Mathematical model; Nonlinear systems; Observers; FDD; Fuel Cell; Fuzzy Nonlinear Observer; LMI(Linear Matrix Inequality); Takagi-Sugeno;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Renewable Energies for Developing Countries (REDEC), 2012 International Conference on
  • Conference_Location
    Beirut
  • Print_ISBN
    978-1-4673-2440-3
  • Type

    conf

  • DOI
    10.1109/REDEC.2012.6416716
  • Filename
    6416716