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Optimization setting control method based on BFO and CBR for laminar cooling water
Pian JX(片锦香); Zhu YL(朱云龙); Liu JX(刘金鑫); Chen HN(陈瀚宁)
作者部门信息服务与智能控制技术研究室
会议名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期June 8-12, 2015
会议地点Shenyang, China
会议录名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码829-834
收录类别EI ; CPCI(ISTP)
EI收录号20161402187824
WOS记录号WOS:000380502300158
产权排序1
ISSN号2379-7711
ISBN号978-1-4799-8730-6
关键词Laminar Cooling Bacterial Foraging Optimization (Bfo) Case-based Reason (Cbr) Setting Control
摘要Aiming at the target optimization problem in the laminar cooling process, we proposed a laminar cooling water optimization setting control method, integrating improved bacterial foraging optimization (BFO) algorithm and case-based reasoning (CBR) technology. We construct two layers structure of dynamic optimization to realize offline optimization and online reasoning. The simulation results with industrial operating data showed the effectiveness in searching optimized cooling water consumption in varying working condition. The proposed method has the ability to adjust the water consumption setting value in time and the strip coiling temperature is controlled in the target range.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/17374
专题信息服务与智能控制技术研究室
作者单位Laboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, CAS, Shenyang, China
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GB/T 7714
Pian JX,Zhu YL,Liu JX,et al. Optimization setting control method based on BFO and CBR for laminar cooling water[C]. Piscataway, NJ, USA:IEEE,2015:829-834.
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