• DocumentCode
    1878670
  • Title

    New Smith Predictor and CMAC-PID Control for Wireless Networked Control Systems

  • Author

    Du, Wencai ; Du, Feng

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China
  • fYear
    2009
  • fDate
    27-29 May 2009
  • Firstpage
    162
  • Lastpage
    167
  • Abstract
    This paper aims to the time-variant, random and uncertain wireless network delay, a novel approach is proposed that new Smith predictor combined with the CMAC-PID control for the wireless networked control systems (WNCS). This new Smith predictor does not include the prediction models of the network delays, therefore network delays are no need to be measured, identified or estimated on line. It is applicable to some occasions that the network delays are larger than one, even tens of sampling periods. Based on IEEE 802.15.4 (ZigBee), the results of simulation experiment show validity of this control scheme, indicate that system has better dynamic performance and anti-jamming ability.
  • Keywords
    cerebellar model arithmetic computers; delays; distributed control; neurocontrollers; predictive control; radio networks; three-term control; CMAC-PID control; IEEE 802.15.4; Smith predictor; anti-jamming ability; random delay; sampling periods; time-variant delay; uncertain delay; wireless networked control systems; Automatic control; Control systems; Delay estimation; Intelligent networks; Intelligent sensors; Networked control systems; Predictive models; Sampling methods; Wireless sensor networks; ZigBee; Smith predictor; cerebellar model articulation controller (CMAC); network delay; wireless networked control systems (WNCS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing, 2009. SNPD '09. 10th ACIS International Conference on
  • Conference_Location
    Daegu
  • Print_ISBN
    978-0-7695-3642-2
  • Type

    conf

  • DOI
    10.1109/SNPD.2009.52
  • Filename
    5286674