基于改进PSO算法的热连轧粗轧短行程控制曲线优化  

Optimization of short stroke control for rough rolling on hot strip mill based on a new PSO

作　　者：王洪希[1] 田伟[1] 白晶[1] 

机构地区：[1]北华大学电气工程学院,吉林吉林132021

出　　处：《重型机械》2008年第5期6-9,23,共5页Heavy Machinery

摘　　要：在对热连轧粗轧短行程控制原理和模型进行深入分析的基础上,采用一种新的进化寻优方法——粒子群优化方法(简称PSO算法),对短行程控制曲线进行优化。为了保证粒子群算法的全局最优性,在算法中采用带有变异算子的改进粒子群算法。经实验仿真证明,采用改进PSO算法优化后的短行程曲线,可以降低板坯头尾宽度偏差,减少头尾切损量,获得满意的效果,PSO算法是一种有效的短行程控制优化方法。A new PSO - based algorithm was constructed to optimize the short stroke control curve based on the research of short stroke control theory and model. To guarantee the globe best of this algorithm, a revised algo- rithm with mutation operator was adopted. The simulation shows that this optimization can decrease the width deviation between strip head and tail and reduce strip head - tail loss. It is an effective way to optimize the short stroke control curve using PSO algorithm.

关 键 词：粒子群优化算法 短行程控制 优化 

分 类 号：TG335.11[金属学及工艺—金属压力加工]