中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optimization setting control method based on BFO and CBR for laminar cooling water

文献类型:会议论文

作者Pian JX(片锦香); Zhu YL(朱云龙); Liu JX(刘金鑫); Chen HN(陈瀚宁)
出版日期2015
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
关键词laminar cooling bacterial foraging optimization (BFO) case-based reason (CBR) setting control
页码829-834
中文摘要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.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISSN号2379-7711
ISBN号978-1-4799-8730-6
WOS记录号WOS:000380502300158
源URL[http://ir.sia.cn/handle/173321/17374]  
专题沈阳自动化研究所_信息服务与智能控制技术研究室
推荐引用方式
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]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015.

入库方式: OAI收割

来源:沈阳自动化研究所

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