• DocumentCode
    3427362
  • Title

    FTC approach based on predictive governor

  • Author

    Boussaid, Boumedyen ; Aubrun, Christophe ; Ben Gayed, M. Koni ; Abdelkrim, M. Naceur

  • Author_Institution
    CRAN Lab., Nancy Univ., Nancy, France
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    2088
  • Lastpage
    2093
  • Abstract
    In this paper, a new approach of reconfigured system is proposed to improve the performance of an active fault tolerant control system. The method is based on model predictive control and reference trajectory adjustment techniques. When an actuator fault occurs in the system, the controller balances to the nearest degraded reference trajectory. A constraint set and cost function are established to avoid actuators saturation and reduce control energy spent in closed loop dynamics. The effectiveness of the proposed method has been illustrated using a hydrothermal system subject to actuator failure and constraints on the actuator dynamic ranges. Satisfactory results have been obtained.
  • Keywords
    actuators; closed loop systems; fault diagnosis; fault tolerance; position control; predictive control; active fault tolerant control systems; actuator failure; actuators saturation; closed loop dynamics; constraint set; control energy; controller; cost function; hydrothermal system; model predictive control technique; predictive governor; reconfigured system; reference trajectory adjustment technique; Actuators; Automatic control; Control systems; Degradation; Fault tolerance; Fault tolerant systems; Predictive control; Predictive models; Safety; Trajectory; Fault tolerant control systems (FTCS); actuator fault; reconfigurable control; reference trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2009. ICCA 2009. IEEE International Conference on
  • Conference_Location
    Christchurch
  • Print_ISBN
    978-1-4244-4706-0
  • Electronic_ISBN
    978-1-4244-4707-7
  • Type

    conf

  • DOI
    10.1109/ICCA.2009.5410345
  • Filename
    5410345