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

• Published in: Communications in theoretical physics Vol. 45; no. 1; pp. 117 - 120
• Main Author: FANG Jin-Qing LUO Xiao-Shu Guo-Xian
• Format: Journal Article
• Language: English
• Published: IOP Publishing 15.01.2006; China Institute of Atomic Energy, P.O. Box 275-27, Beijing 102413, China%Department of Physics and Electronic Science, Guangxi Normal University, Guilin 541004, China
• Subjects: 传输网络; 周期聚焦通道; 时滞反馈; 混沌控制; 神经网络; 质子束; neural network adaptation control; beam transport network; periodic focusing channels; halo-chaos; high-current proton beam; time-delayed feedback
• ISSN: 0253-6102
• DOI: 10.1088/0253-6102/45/1/022

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.