结合BFO及CBR的层流冷却水量优化设定方法

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	结合BFO及CBR的层流冷却水量优化设定方法
	片锦香; 朱云龙; 刘金鑫; 柴天佑
刊名	仪器仪表学报
	2015
卷号	36 期号:3 页码:615-622
ISSN号	0254-3087
其他题名	Optimization setting control based on bacterial foraging optimization and case-based reasoning for laminar cooling water consumption
产权排序	1
中文摘要	层流冷却过程控制目标是保证带钢卷取温度进入目标范围内并尽量提高精度以保证带钢质量,其本质是目标优化问题。同时,层流冷却过程处于频繁变化操作工况的动态环境之下,现有控制方法很难实现有效的实时控制。本文针对现有层流冷却过程控制方法很少引入优化思想这一问题,提出基于改进菌群优化算法(BFO)的层流冷却过程冷却水量优化设定方法。并针对动态变化工况,引入案例推理(CBR)机制,提出离线优化——在线推理双层结构的动态优化设定控制结构。基于实际运行数据的实验结果说明,本文提出的方法能够有效搜索冷却水量的优化设定值,而且在变更带钢规格的变化工况条件下,能够及时调整冷却水量的设定值,最终使带钢卷取温度进入目标范围内。
英文摘要	The function of laminar cooling control system is to control the strip coiling temperature into the allowed range, and the closer to the target temperature, the better strip quality is. Essentially, this is a target optimization problem. Laminar cooling operating condition is always varying and the process is in the dynamic environment, which is leading the difficulty of effective real-time control. Aiming at no optimization in the laminar cooling control methods, this paper proposed optimization setting control method of cooling water consumption, by introducing the improved bacterial foraging optimization (BFO). On the other hand, aiming at the dynamic operating condition, two layers structure of dynamic optimization setting is proposed with the mode of offline optimization and online reasoning, where case-based reasoning (CBR) is applied. The simulation results with industrial operating data showed the effectiveness in searching optimized cooling water consumption. Moreover, in the condition of varying working condition, the proposed method has the ability to adjust the water consumption setting value in time. As a result, the strip coiling temperature is controlled in the target range.
收录类别	EI ; CSCD
语种	中文
CSCD记录号	CSCD:5390882
内容类型	期刊论文
源URL	[http://ir.sia.ac.cn/handle/173321/16156]
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	片锦香,朱云龙,刘金鑫,等. 结合BFO及CBR的层流冷却水量优化设定方法[J]. 仪器仪表学报,2015,36(3):615-622.
APA	片锦香,朱云龙,刘金鑫,&柴天佑.(2015).结合BFO及CBR的层流冷却水量优化设定方法.仪器仪表学报,36(3),615-622.
MLA	片锦香,et al."结合BFO及CBR的层流冷却水量优化设定方法".仪器仪表学报 36.3(2015):615-622.