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基于改进粒子群算法的轧制负荷分配优化
引用本文:姜万录,梁建全,王益群,王静. 基于改进粒子群算法的轧制负荷分配优化[J]. 机床与液压, 2011, 39(3). DOI: 10.3969/j.issn.1001-3881.2011.03.004
作者姓名:姜万录  梁建全  王益群  王静
作者单位:燕山大学,河北秦皇岛,066004
基金项目:国家自然科学基金资助项目(50775198); 河北省自然科学基金资助项目(E2008000812)
摘    要:应用改进粒子群算法,实现单机架可逆冷轧机轧制负荷分配优化。结合某厂单机架可逆冷轧机实际工况,建立了合适的轧制力数学模型并进行参数计算,以压下率为自变量,以轧制力成比例分配为目标,通过改进粒子群算法,得到最佳的轧制负荷分配。工程实践证明:与基本粒子群算法、遗传算法相比,改进粒子群算法具有计算精度更高、收敛速度更快、搜索能力更强等优点,是一种适于单机架可逆冷轧机轧制负荷分配优化的新方法。

关 键 词:单机架可逆轧机  负荷分配优化  改进粒子群算法  

Load Distribution Optimization Based on Improved Particle Swarm Optimization
JIANG Wanlu,LIANG Jianquan,WANG Yiqun,WANG Jing. Load Distribution Optimization Based on Improved Particle Swarm Optimization[J]. Machine Tool & Hydraulics, 2011, 39(3). DOI: 10.3969/j.issn.1001-3881.2011.03.004
Authors:JIANG Wanlu  LIANG Jianquan  WANG Yiqun  WANG Jing
Affiliation:JIANG Wanlu,LIANG Jianquan,WANG Yiqun,WANG Jing(Yanshan University,Qinhuangdao Hebei 066004,China)
Abstract:The load distribution optimization of single stand reversible cold-strip mill was realized through improved particle swarm optimization(IPSO).Based on actual working conditions of a single stand reversible cold-strip mill in a factory,adaptive rolling force model was built and parameters were calculated.By taking the reduction rate as independent variable and the rolling pressure proportionate distribution as objective function,using IPSO,the best load distribution was obtained.The engineering practice demo...
Keywords:Single stand reversible cold-strip mill  Load distribution optimization  Improved particle swarm optimization  
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