• DocumentCode
    702031
  • Title

    Multiobjective design of fault detection filters

  • Author

    Ding, S.X. ; Zhang, P. ; Ding, E.L. ; Frank, P.M. ; Sader, M.

  • Author_Institution
    Institute for Automatic Control and Complex systems University of Duisburg-Essen, Bismarckstrasse 81 BB, 47048 Duisburg, Germany
  • fYear
    2003
  • fDate
    1-4 Sept. 2003
  • Firstpage
    1357
  • Lastpage
    1362
  • Abstract
    In this paper, problems related to the design of fault detection filters (FDF) for dynamic systems with unknown inputs are studied. Core of our study is to consider the design problems under two different residual evaluation functions, the i?2-norm and the peak amplitude of the residual signals. The background of this study is the fault detection strategy of using multi-residual evaluation functions, which is widely adopted in practice. Based on the above-mentioned two residual evaluation functions, different design schemes for FDF are formulated as multiobjective optimization problems, which are then solved using the well-established LMI-technique.
  • Keywords
    Energy states; Fault detection; Generators; Optimization; Robustness; Symmetric matrices; Yttrium; Fault detection; Multiobjective optimization; Observer based approach; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Control Conference (ECC), 2003
  • Conference_Location
    Cambridge, UK
  • Print_ISBN
    978-3-9524173-7-9
  • Type

    conf

  • Filename
    7085150