DocumentCode :
3666731
Title :
Optimization setting control method based on BFO and CBR for laminar cooling water
Author :
Pian Jinxiang;Zhu Yunlong;Liu Jinxin;Chen Hanning
Author_Institution :
Laboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, CAS Shenyang, P. R. China
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
829
Lastpage :
834
Abstract :
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.
Keywords :
"Strips","Cooling","Microorganisms","Optimization","Temperature measurement","Valves"
Publisher :
ieee
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8728-3
Type :
conf
DOI :
10.1109/CYBER.2015.7288051
Filename :
7288051
Link To Document :
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