• DocumentCode
    2296046
  • Title

    Quantitative fault estimation for a class of nonlinear systems

  • Author

    Vijayaraghavan, K. ; Rajamani, R. ; Bokor, J.

  • Author_Institution
    Dept. of Mech. Eng., Minnesota Univ., Minneapolis, MN
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Abstract
    This paper develops a methodology for actuator fault diagnostics and quantitative estimation of fault signals in a class of nonlinear systems. The class of nonlinear systems considered is one in which the nonlinearity is an incremental quadratic type of nonlinearity that includes Lipschitz, positive real and sector nonlinear functions. The methodology provides for both state estimation and fault vector estimation. An LMI procedure can be utilized for explicit computation of the observer gains. The procedure developed can also be specialized to linear time invariant systems. Compared to previous results for LTI systems, the procedure developed herein does not require the LTI system to be minimum phase. The use of the developed methodology is demonstrated through an illustrative example of a real world physical application
  • Keywords
    fault diagnosis; linear matrix inequalities; nonlinear functions; nonlinear systems; state estimation; LMI procedure; LTI systems; actuator fault diagnostics; fault vector estimation; nonlinear functions; nonlinear systems; quantitative estimation; quantitative fault estimation; Actuators; Control systems; Fault detection; Nonlinear control systems; Nonlinear systems; Observers; State estimation; Symmetric matrices; Time invariant systems; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2006
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    1-4244-0209-3
  • Electronic_ISBN
    1-4244-0209-3
  • Type

    conf

  • DOI
    10.1109/ACC.2006.1657539
  • Filename
    1657539