Optimization of Tandem Cold Rolling Schedule Based on Competitive Coevolution Algorithm
The schedule set is an important part in the cold rolling process,which directly affects product quality and production efficiency in the production of steel rolling.Due to the low precision of traditional rolling force model,a model of rolling force was founded by the least squares support vector machine(LSSVM)method though analyzing the influencing factors of rolling force.Considering the diversity of optimization goal on rolling schedule of cold tandem rolling,the rolling schedule was optimized by competitive coevolution algorithm(Comp-CEA).A rolling schedule of steel cold rolling mill in Tangshan was optimized by selecting the power distribution,excellent flatness and the slip rate as objective functions.The experiment results show that Comp-CEA has the advantages such as high accuracy,rapid convergence and so on,and three objective functions can be improved in varying degrees.
Comp-CEA LSSVM tandem cold rolling rolling schedule
ZHAO Xinqiu MENG Qinggang CHE Haijun YANG Jingming
National Engineering Research Center for Equipment and Technology of Cold Strip Rolling,Hebei,Qinhua Key Lab of Industrial Computer Control Engineering of Hebei Province,Yanshan University 066004
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
6500-6504
2014-07-28(万方平台首次上网日期,不代表论文的发表时间)