• DocumentCode
    11330
  • Title

    Fault Detection Filter Design With Optimization and Partial Decoupling

  • Author

    Xiaobo Li ; Liu, Hugh H. T. ; Bin Jiang

  • Author_Institution
    Inst. for Aerosp. Studies, Univ. of Toronto, Toronto, ON, Canada
  • Volume
    60
  • Issue
    7
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    1951
  • Lastpage
    1956
  • Abstract
    For the fault detection filter design of linear time-invariant systems, we propose a novel problem formulation, which not only makes a tradeoff between fault sensitivity and disturbance sensitivity, but also incorporates partial fault decoupling and disturbance decoupling. This formulation compensates the drawbacks of the available frameworks such as H-/H, H2/H and H/H. One optimal fault detection filter design for this problem framework is derived. It is shown that the faults in a certain space have arbitrary sensitivities, while the faults in the complementary space have bounded and maximized sensitivities with the proposed filter. Both the decoupling and non-decoupling conditions are derived. Moreover, decoupling disturbances is discussed. Finally, an example is given to illustrate the results.
  • Keywords
    H control; H2 control; fault diagnosis; linear systems; optimisation; sensitivity analysis; H2/H; arbitrary sensitivities; bounded sensitivities; complementary space faults; decoupling disturbances; disturbance decoupling; disturbance sensitivity; fault sensitivity; linear time-invariant systems; maximized sensitivities; nondecoupling conditions; optimal fault detection filter design; optimization; partial fault decoupling; Boolean functions; Data structures; Fault detection; Indexes; Niobium; Robustness; Sensitivity; ${cal H}_{-}$ index; Decoupling; Fault detection; H− index; Robustness; fault detection; robustness;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2014.2364980
  • Filename
    6936351