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

Fuzzy identification of T-S model for beam stability control for electron gun
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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 statefeedback fuzzy controller is designed. The method is applied to the La B6 electron gun system in the industrial radiation accelerator and the simulation results show its effectiveness. 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 statefeedback fuzzy controller is designed. The method is applied to the La B6 electron gun system in the industrial radiation accelerator and the simulation results show its effectiveness.
作者 吕彬 苏海军 李德明
机构地区 Shanghai Institute of Applied Physics
出处 《Nuclear Science and Techniques》 SCIE CAS CSCD 2015年第5期20-26,共7页 核技术（英文）
基金 Supported by the Knowledge Innovation Program of Chinese Academy of Sciences(No.Y35501A011)
关键词 稳定控制 电子枪 T-S模型 模糊辨识 T-S模糊模型 非线性系统 模糊控制器 混合优化算法 Electron gun system T-S fuzzy model Quantum encoding Model-based control strategy
分类号 TL503.3 [核科学技术—核技术及应用]
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参考文献27

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Nuclear Science and Techniques
2015年 第5期

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