• DocumentCode
    2874837
  • Title

    Compensation for the Network Control Systems with a Multi-step State Estimate Strategy

  • Author

    Liang, Tao ; Zhang, Beibei ; Sun, Hexu ; Lei, Zhaoming

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Hebei Univ. of Technol., Tianjin, China
  • fYear
    2009
  • fDate
    1-3 Nov. 2009
  • Firstpage
    173
  • Lastpage
    176
  • Abstract
    Network control system also called NCS is a distributed feedback control system which composed by real-time network. It has the advantages of resource sharing and agility as a low-cost and easy-maintained system. But at the same time, network will also have the problem of time delay which makes difficulties of NCS analysis. The existence of network delay will reduce the performance of network control system, as well as it is inevitable. Therefore it is imperative to its compensation. A multi-step state estimate strategy is recommended in this paper, for compensation network between not only sensor and controller, but also controller and actuator. Buffer delay compensation at actuator receiving terminal is added to improve the performance of NCS. We also analyze system stability in discrete case of a given network system model.
  • Keywords
    actuators; delays; feedback; stability; state estimation; buffer delay compensation; distributed feedback control system; multistep state estimate strategy; network control systems; real-time network; resource sharing; time delay; Actuators; Automatic control; Communication system control; Control systems; Delay effects; Delay estimation; Delay systems; Intelligent networks; Stability; State estimation; Multi-step State Estimate Strategy; network control system; network delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-5557-7
  • Electronic_ISBN
    978-0-7695-3852-5
  • Type

    conf

  • DOI
    10.1109/ICINIS.2009.52
  • Filename
    5366887