• DocumentCode
    2972832
  • Title

    Design of networked control system based on wireless sensor networks

  • Author

    Li, Hongjun ; Li, Xun ; Wang, Jianwen ; Ma, Hongxu

  • Author_Institution
    Sch. of Mechatron. & Autom., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2009
  • fDate
    22-24 June 2009
  • Firstpage
    1140
  • Lastpage
    1143
  • Abstract
    Wireless sensor networks (WSNs) are emerging as a new generation of sensor networks. Serving as the backbone of control applications, WSNs will enable an unprecedented degree of distributed and mobile control. In the paper we analyze and design a networked control system where the communication between the sensors, the controller, and the actuator takes place over WSNs. However, WSNs also introduce random delays and packets loss in the feedback loop. We present a state predictive and state estimation based on the extended Kalman filter for the networked control system. The model predictive control with both random delays and packet loss in the feedback loop is introduced. This paper is motivated by many of applications for the mobile controllers during the setup of an experimental NCS. The simulations show that our experimental system which takes the delays and loss into account indeed can perform well in the real applications.
  • Keywords
    Kalman filters; control system synthesis; delays; predictive control; wireless sensor networks; WSN; distributed control system; extended Kalman filter; mobile control system; network control system; predictive estimation; wireless sensor network; Communication system control; Control systems; Delay; Distributed control; Feedback loop; Mobile communication; Networked control systems; Sensor systems; Spine; Wireless sensor networks; Extended Kalman Filter; networked control system; state estimation; state predictive; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2009. ICIA '09. International Conference on
  • Conference_Location
    Zhuhai, Macau
  • Print_ISBN
    978-1-4244-3607-1
  • Electronic_ISBN
    978-1-4244-3608-8
  • Type

    conf

  • DOI
    10.1109/ICINFA.2009.5205088
  • Filename
    5205088