• DocumentCode
    2832932
  • Title

    Networked Control Systems with Novel Smith Predictor and CMAC-PID Control

  • Author

    Du, Feng ; Du, Wencai

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China
  • fYear
    2009
  • fDate
    11-12 July 2009
  • Firstpage
    671
  • Lastpage
    674
  • Abstract
    In order to availably restrain the impact of network delays for networked control systems (NCS), we propose a new approach that novel Smith predictor combined with the CMAC and PID control for the NCS. This method realized the feedback control by using traditional PID controller to enhance the stability and reject the disturbance, and realized the feedforward control by using CMAC neural network to increase the response speed and control precision. Because new Smith predictor does not include network delay, therefore, it is no need for measuring on line, identifying or estimating network delays. Based on CSMA/CD (Ethernet), the results of simulation experiment show validity of the control scheme and improvement in dynamic performance and robustness of NCS.
  • Keywords
    cerebellar model arithmetic computers; delays; feedback; feedforward; neurocontrollers; stability; three-term control; CMAC neural network; CMAC-PID control; Smith predictor; control scheme; disturbance rejection; feedback control; feedforward control; network delay; networked control systems; Control systems; Delay estimation; Ethernet networks; Feedback control; Feedforward neural networks; Multiaccess communication; Networked control systems; Neural networks; Stability; Three-term control; Cerebellar model articulation controller (CMAC); Smith predictor; network delay; networked control systems (NCS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-0-7695-3728-3
  • Type

    conf

  • DOI
    10.1109/CASE.2009.162
  • Filename
    5194544