• DocumentCode
    2788725
  • Title

    Fuzzy immune control and new Smith predictor for wireless networked control systems

  • Author

    Du, Feng ; Du, Wencai

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    1563
  • Lastpage
    1568
  • Abstract
    To aim at time-variant or uncertain network delay in the wireless networked control systems (WNCS), as well as Smith predictor model and real model of the controlled plant might be mismatch, a new Smith dynamic predictor combined with fuzzy immune control is proposed. Because new Smith dynamic predictor hides predictor model of the network delay into real network data transmission process, further the network delay no longer need to be measured, identified or estimated on-line. It is applicable to some occasions that wireless network delay is random, time-variant or uncertain, possibly large compared to one, even tens sampling periods, at the same time, there are some data dropouts in closed loop. Based on IEEE 802.15.4 (ZigBee), the results of simulation show validity of the control scheme, and indicate that system has better dynamic performance and robustness.
  • Keywords
    delays; fuzzy control; radio networks; telecommunication control; IEEE 802.15.4; Smith dynamic predictor; ZigBee; data dropouts; fuzzy immune control; network data transmission process; uncertain network delay; wireless network delay; wireless networked control systems; Control systems; Data communication; Delay effects; Delay estimation; Fuzzy control; Fuzzy systems; Networked control systems; Predictive models; Sampling methods; Wireless networks; Fuzzy immune control; Network delay; Smith predictor; Wireless networked control systems (WNCS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192223
  • Filename
    5192223