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

摘要：

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.

关键词： Tokamak Actuator circuits nonlinear neural network controller Gradient descent algorithm Momentum algorithm.

作者: H. Tolouei A. Kouhi H. Rasouli C. Rasouli

作者单位: Advanced Process Automation & Control Laboratory (APAC), faculty of Electrical Engineering, Control Plasma Physics and nuclear fusion institute, Institute of nuclear science and technology (AEOI), Teh Advanced Process Automation & Control Laboratory (APAC), faculty of Electrical Engineering, Control

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 3568-3573

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）