• DocumentCode
    2858646
  • Title

    Reconstruction of actuator fault for a class of nonlinear systems using sliding mode observer

  • Author

    Jian Zhang ; Swain, Ayas Kanta ; Sing Kiong Nguang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    1370
  • Lastpage
    1375
  • Abstract
    The present paper proposes a sliding mode observer (SMO) for detection and isolation of actuator faults for a class of uncertain nonlinear systems (Lipschitz nonlinear systems). The sufficient condition of stability of the proposed SMO has been derived and expressed as Linear Matrix Inequalities (LMIs). The design parameters of the proposed SMO are determined by using LMI techniques. The constraint of the switching gain has been determined such that the proposed SMO satisfies the reachability condition. Then the equivalent output error injection is employed to reconstruct the actuator fault based on the structure of the uncertainty. The effectiveness of the proposed SMO in reconstructing actuator fault has been illustrated considering an example of a single-link flexible joint robot system and has been found to be satisfactory even with the presence of sensor noise.
  • Keywords
    control system synthesis; fault tolerance; linear matrix inequalities; nonlinear control systems; observers; stability; variable structure systems; Lipschitz nonlinear system; SMO stability condition; actuator fault detection; actuator fault isolation; actuator fault reconstruction; linear matrix inequalities; output error injection; reachability condition; single-link flexible joint robot system; sliding mode observer; switching gain constraint; uncertain nonlinear system; Actuators; Linear systems; Mathematical model; Nonlinear systems; Observers; Stability analysis; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991492
  • Filename
    5991492