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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)
Department信息服务与智能控制技术研究室
Conference Name2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
Conference DateJune 8-12, 2015
Conference PlaceShenyang, China
Source Publication2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2015
Pages829-834
Indexed ByEI ; CPCI(ISTP)
EI Accession number20161402187824
WOS IDWOS:000380502300158
Contribution Rank1
ISSN2379-7711
ISBN978-1-4799-8730-6
KeywordLaminar Cooling Bacterial Foraging Optimization (Bfo) Case-based Reason (Cbr) Setting Control
AbstractAiming 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.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17374
Collection信息服务与智能控制技术研究室
AffiliationLaboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, CAS, Shenyang, China
Recommended Citation
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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