• DocumentCode
    550778
  • Title

    Active fault-tolerant control for networked control systems with data packet dropout via predictive control

  • Author

    Xiaoyuan Luo ; Junling Zhang ; Yuyan Zhang ; Xinping Guan

  • Author_Institution
    Inst. of Electr. Eng., Yanshan Univ., Qinhuangdao, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    4241
  • Lastpage
    4246
  • Abstract
    A constrainted active model predictive fault-tolerant control strategy against actuator faults for networked control systems with data packet dropout is proposed in this paper. Let N(control horizon) step ahead predictive trace as one unit, then the networked control system is regarded as a switch system, a buffer is designed to reserve the predicted control sequence at the actuator node. When the packet is dropouted, the actuator can choose corresponding control signal. It is shown that the closed-loop networked predictive control system with actuator faults and packet dropout is stabilizable if the corresponding switched system is stabilizable. Finally, simulations are performed to show the effectiveness of the proposed method.
  • Keywords
    actuators; closed loop systems; control system synthesis; fault diagnosis; fault tolerance; networked control systems; predictive control; stability; active fault-tolerant control; actuator faults; actuator node; buffer; closed-loop networked predictive control system; constrainted active model predictive fault-tolerant control strategy; control horizon; control signal; data packet dropout; networked control systems; predicted control sequence; step ahead predictive trace; switch system; switched system; Actuators; Cost function; Fault tolerance; Fault tolerant systems; Predictive models; Switches; Active Model Predictive Fault-Tolerant Control; Actuator Fault; Networked Control Systems; Packet Dropout;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6001118