Fuzzy identification of T-S model for beam stability control for electron gun

被引：0
|
作者：
Lu Bin [1 ]
Su Hai-Jun [1 ]
Li De-Ming [1 ]
机构：
[1] Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai 201800, Peoples R China
来源：
NUCLEAR SCIENCE AND TECHNIQUES | 2015年 / 26卷 / 05期
关键词：
Electron gun system; T-S fuzzy model; Quantum encoding; Model-based control strategy; CONTROL-SYSTEMS; TRACKING CONTROL; DYNAMIC-SYSTEMS; DESIGN; ISSUES;
D O I：
暂无
中图分类号：
TL [原子能技术]; O571 [原子核物理学];
学科分类号：
0827 ; 082701 ;
摘要：
In this paper, Takagi-Sugeno (T-S) fuzzy control is proposed for stabilizing the output beam of accelerators. To model the nonlinear system, we proposed a hybrid optimization algorithm based on quantum-inspired differential evolution and genetic algorithm. Based on the T-S model identified, the corresponding state-feedback fuzzy controller is designed. The method is applied to the LaB6 electron gun system in the industrial radiation accelerator and the simulation results show its effectiveness.
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页数：7
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