• DocumentCode
    3170077
  • Title

    Sensor fault tolerant control using a robust LPV based sliding mode observer

  • Author

    Alwi, Halim ; Edwards, Chris ; Menon, Prathyush P.

  • Author_Institution
    Control Syst. Res., Univ. of Leicester, Leicester, UK
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    1828
  • Lastpage
    1833
  • Abstract
    This paper presents a new sensor fault tolerant control (FTC) scheme inspired by a recently developed LPV based sliding mode observer. The robustly reconstructed sensor faults from the observer are used to `correct´ the corrupted measurements before they are used by the existing controller. The modular structure of the sensor FTC scheme allows it to be retrofitted to the existing closed loop system and the observer can be designed independently. The closed-loop system stability analysis with the observer as part of the feedback loop does not require extensive details of the existing controller and does not require a dedicated controller to achieve FTC. Parametric simulation results on the ADDSAFE nonlinear benchmark model, evaluated using an industrial functional engineering simulator shows good robust fault reconstruction and good sensor FTC performance.
  • Keywords
    aircraft landing guidance; benchmark testing; closed loop systems; control system synthesis; fault tolerance; feedback; maintenance engineering; nonlinear control systems; observers; robust control; sensors; variable structure systems; ADDSAFE nonlinear benchmark model; closed-loop system stability analysis; feedback loop; industrial functional engineering simulator; parametric simulation; retrofitting; robust LPV-based sliding mode observer design; sensor FTC scheme; sensor fault tolerant control; sensor robust fault reconstruction; Actuators; Atmospheric modeling; Fault tolerance; Fault tolerant systems; Observers; Robustness; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426343
  • Filename
    6426343