中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on genetic algorithm in accelerator power supply

文献类型:会议论文

作者Qian, Xiang-Ping1; Qiao, Wei-Ming2; Zhou, Zhong-Zu2; Jing, Lan2; Chen, Xi-Meng1
出版日期2010
DOI10.1109/iCECE.2010.1149
页码4747-4750
英文摘要A state feedback matrix of accelerator power supply was acquired using linear quadratic optimal controller. The choosing method of the weighting matrix was studied. A method based on the genetic algorithm was proposed and simulations were employed. The fitness function was acquired considering the needs of the power properties. The results showed that the proposed choosing method of the weighting matrix was effective, and the performance of the power supply was improved dramatically. © 2010 IEEE.
会议录Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010
会议录出版者IEEE Computer Society
源URL[http://119.78.100.186/handle/113462/63929]  
专题中国科学院近代物理研究所
作者单位1.School of Nuclear Science and Technology, Lanzhou Universiy, 222, Tianshui South Road, Lanzhou Gansu, China
2.Institute of Modern Physics, Chinese Academy of Sciences, 509, Nanchang Road, Lanzhou Gansu, China
推荐引用方式
GB/T 7714
Qian, Xiang-Ping,Qiao, Wei-Ming,Zhou, Zhong-Zu,et al. Research on genetic algorithm in accelerator power supply[C]. 见:.

入库方式: OAI收割

来源:近代物理研究所

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