• DocumentCode
    3268115
  • Title

    Geometric-based approach to fault detection for interval systems

  • Author

    Hamelin, Frederic ; Defranoux, Celine ; Sauter, Dominique

  • Author_Institution
    Centre de Recherche en Autom. de Nancy, Univ. Henri Poincare, Vandoeuvre, France
  • Volume
    4
  • fYear
    2002
  • fDate
    10-13 Dec. 2002
  • Firstpage
    4365
  • Abstract
    This paper formulates the robust fault detection (RFD) problem in an original form and proposes an approach to solve it. The Kharitonov polynomials and the associated geometry of Dasgupta are used. The proposed approach is based on the synthesis of an optimal model derived from an interval model. The detection filter associated to the residual generation is such that it minimises the effects of both parametric uncertainties and unknown input disturbances while maximizing fault sensitivity. A simulation example illustrates this approach.
  • Keywords
    fault diagnosis; geometry; modelling; optimal control; optimisation; polynomials; robust control; uncertain systems; Dasgupta geometry; Kharitonov polynomials; detection filter; fault detection; fault sensitivity maximization; geometric based approach; interval systems; minimisation; optimal model synthesis; parametric uncertainties; residual generation; time invariant linear system; unknown input disturbances; Fault detection; Filters; Fluctuations; Frequency; Geometry; Performance analysis; Polynomials; Robustness; Uncertainty; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-7516-5
  • Type

    conf

  • DOI
    10.1109/CDC.2002.1185059
  • Filename
    1185059