基于布谷鸟算法的铝热连轧轧制规程优化  

Optimization of Aluminum Hot Tandem Rolling Schedule Based on Cuckoo Search Algorithm

作　　者：陈伟明[1,2] 杨景明[1,2] 车海军[1,2] 顾佳琪[1,2] 

机构地区：[1]燕山大学工业计算机控制工程河北省重点实验室,河北秦皇岛066004 [2]燕山大学电气工程学院,河北秦皇岛066004

出　　处：《矿冶工程》2015年第2期145-149,共5页Mining and Metallurgical Engineering

基　　金：国家自然科学基金钢铁联合基金资助项目(U1260203);河北省科学技术研究与发展计划基金资助项目(10212157)

摘　　要：根据轧制原理,提出了支持向量机建立轧制力预报模型,并通过布谷鸟算法优化支持向量机参数,达到提高预报精度的目的。提出了支持向量机网络与数学模型结合的方法,对某"1+4"铝热连轧厂现场采集的5052铝合金轧制数据进行离线仿真,进一步提高了轧制力预报精度。在轧制规程设定中,建立了以预防打滑为主的电机功率剩余程度相近目标函数,并用布谷鸟算法对压下率进行优化,结果表明,该规程有很好的预防打滑效果,并能保证各机架电机的功率剩余程度相近。According to the principle of rolling, a forecasting model for roiling force based on support vector machine （SVM） was proposed. In order to improve the prediction precision, the cuckoo search algorithm was used to optimize the parameters of SVM. The combination of SVM network with mathematic model was proposed. The offline simulation of 5052 aluminum alloy roiling data obtained on site of a ＂1 ＋4＂ aluminum strip rolling factory was carried out to further improve the precision of roiling force prediction. The objective function based on the prevention of slip and residual power of motors was established in the specification of rolling and the rolling reduction was optimized by cuckoo algorithm. The results show that this method has good effects of preventing slip and can ensure similar residual power of each motor.

关 键 词：铝热连轧 轧制规程 轧制力 支持向量机 布谷鸟算法 

分 类 号：TG339[金属学及工艺—金属压力加工]