• DocumentCode
    2674867
  • Title

    Design and Implementation of nonlinear neural network controller based on simulator model in Damavand Tokamak

  • Author

    Tolouei, H. ; Kouhi, A. ; Rasouli, H. ; Rasouli, C.

  • Author_Institution
    Control Dept., K.N. Toosi Univ. of Technol., Tehran, Iran
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    3551
  • Lastpage
    3556
  • Abstract
    In this study, nonlinear neural network controller will be developed to control plasma radial motion in Damavand Tokamak. It is essential to have a good model in order to design a proper controller for plasma radial motion. To achieve this goal, actuator circuits are simulated and in consequence based on simulator model and simulated actuator circuits nonlinear neural network controller will be designed in Damavand Tokamak. Comparison between neural network controller output and PD controller output shows the efficiency of proposed approach.
  • Keywords
    Tokamak devices; actuators; control system synthesis; gradient methods; motion control; neurocontrollers; nonlinear control systems; plasma nonlinear processes; plasma simulation; plasma toroidal confinement; Damavand Tokamak; actuator circuits; nonlinear neural network controller; plasma radial motion control; simulator model; Actuators; Biological neural networks; Mathematical model; PD control; Tokamaks; Actuator circuits; Gradient descent algorithm; Momentum algorithm; Tokamak; nonlinear neural network controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244568
  • Filename
    6244568