• DocumentCode
    1862696
  • Title

    A robust LPV fault detection approach using parametric eigenstructure assignment

  • Author

    Shi, Fengming ; Patton, Ron J.

  • Author_Institution
    Dept. of Eng., Univ. of Hull, Kingston upon Hull, UK
  • fYear
    2012
  • fDate
    3-5 Sept. 2012
  • Firstpage
    467
  • Lastpage
    472
  • Abstract
    In this paper, an eigenstructure assignment fault detection approach to linear time invariant (LTI) systems is extended to Linear Parameter Varying (LPV) systems. Fault detection filter design algorithms using eigenstructure assignment have been widely studied for LTI systems. However, LPV strategies are very useful for systems which have no unique equilibrium and are difficult to linearize. The parametric eigenstructure assignment approach is used to design an observer as a residual generator by viewing the varying parameters as fixed parameters in the design procedure. The residual observer feedback structure is implemented using a measured scheduling parameter An example is given of actuator fault detection of a two-link manipulator system.
  • Keywords
    actuators; eigenstructure assignment; fault diagnosis; feedback; filtering theory; linear systems; manipulators; observers; robust control; LTI systems; actuator fault detection; eigenstructure assignment fault detection; fault detection filter design algorithms; linear parameter varying systems; linear time invariant systems; measured scheduling parameter; observer design; parametric eigenstructure assignment; residual generator; residual observer feedback structure; robust LPV fault detection; two-link manipulator system; Computers; Dynamic scheduling; Eigenvalues and eigenfunctions; Manipulator dynamics; Time measurement; Eigenstructure assignment; Fault detection; Fault residual generation; LPV systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control (CONTROL), 2012 UKACC International Conference on
  • Conference_Location
    Cardiff
  • Print_ISBN
    978-1-4673-1559-3
  • Electronic_ISBN
    978-1-4673-1558-6
  • Type

    conf

  • DOI
    10.1109/CONTROL.2012.6334675
  • Filename
    6334675