引用本文:付培众,董洁,杨伟,胡广大,尹怡欣.基于遗传算法的层流冷却系统优化控制策略[J].控制理论与应用,2009,26(8):918~922.[点击复制]
FU Peizhong,DONG Jie,Yang Wei,HU Guangda,YIN Yixin.Optimal cooling strategy of the laminar cooling control system for hot strip mill based on genetic algorithm[J].Control Theory and Technology,2009,26(8):918~922.[点击复制]
基于遗传算法的层流冷却系统优化控制策略
Optimal cooling strategy of the laminar cooling control system for hot strip mill based on genetic algorithm
摘要点击 1737  全文点击 1250  投稿时间:2008-08-11  修订日期:2008-12-27
查看全文  查看/发表评论  下载PDF阅读器
DOI编号  10.7641/j.issn.1000-8152.2009.8.CCTA080844
  2009,26(8):918-922
中文关键词  层流冷却  卷取温度  冷却速率  遗传算法
英文关键词  laminar cooling  coiling temperature  cooling rate  genetic algorithm
基金项目  国家自然科学基金资助项目(10571036).
作者单位E-mail
付培众 安阳钢铁股份有限公司, 河南 安阳 455004
北京科技大学 信息工程学院, 北京 100083 
 
董洁 北京科技大学 信息工程学院, 北京 100083  
杨伟* 北京科技大学 信息工程学院, 北京 100083 jillycooper@126.com 
胡广大 北京科技大学信息工程学院, 北京100083  
尹怡欣 北京科技大学 信息工程学院, 北京 100083  
中文摘要
      为进一步提高层流冷却系统的控制精度, 不仅要满足对卷取温度的要求, 还要满足控制冷却对冷却速率的要求. 本文以热连轧层流冷却系统的粗调区为研究对象. 综合考虑层流冷却控制系统的两个控制目标: 目标卷取温度与目标冷却速率, 直接将粗调区集管的开闭模式作为染色体的编码, 应用遗传算法搜索粗调区集管开闭的最佳模式. 最后对整个冷却控制系统进行了仿真, 结果表明采用该控制策略明显优于简单的前端密集冷却模式.
英文摘要
      To improve the control accuracy of a laminar cooling system for the hot strip mill, it is necessary to consider the requirement on the cooling rate, in addition to the desired coiling temperature. This paper investigates the laminar cooling system for the main zone of a hot strip mill. Both the desired cooling temperature and the cooling rate are simultaneously considered during the cooling process. The opening and closing modes of the headers in the main zone are taken directly as the representation of the chromosome, and a genetic algorithm(GA) is introduced to determine the optimal cooling strategy in the main zone of the whole control system. Simulation results are given to testify the validity, which indicate that the optimal cooling strategy determined by GA is prominently better than the simple-grouping cooling strategy in the front end.