Control of Halo-Chaos in Beam Transport Network via Neural Network Adaptation with Time-Delayed Feedback  

作　　者：FANG Jin-Qing LUO Xiao-Shu Guo-Xian 

机构地区：[1]China institute of Atomic Energy, P.O. Box 275-27, Beijing 102413, China [2]Department of Physics and Electronic Science, Guangxi Normal University, Guilin 541004, China

出　　处：《Communications in Theoretical Physics》2006年第1期117-120,共4页理论物理通讯（英文版）

基　　金：The project supported by the Key Projects of National Natural Science Foundation of China under Grant No. 70431002 and National Natural Science Foundation of China under Grants Nos. 70371068 and 10247005

摘　　要：Subject of the halo-chaos control in beam transport networks （channels） has become a key concerned issue for many important applications of high-current proton beam since 1990＇. In this paper, the magnetic field adaptive control based on the neural network with time-delayed feedback is proposed for suppressing beam halo-chaos in the beam transport network with periodic focusing channels. The envelope radius of high-current proton beam is controlled to reach the matched beam radius by suitably selecting the control structure and parameter of the neural network, adjusting the delayed-time and control coefficient of the neural network.

关 键 词：beam transport network periodic focusing channels high-current proton beam HALO-CHAOS neural network adaptation control time-delayed feedback 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] O571[自动化与计算机技术—控制科学与工程]