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.
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.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2009年第8期918-922,共5页
Control Theory & Applications
基金
国家自然科学基金资助项目(10571036)
关键词
层流冷却
卷取温度
冷却速率
遗传算法
laminar cooling
coiling temperature
cooling rate
genetic algorithm
