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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244568