基于特征库和基因再造技术的带钢层流冷却系统多目标优化  

Multi-objective optimization of strip laminar cooling system based on feature library and gene reconstruction technology

作　　者：张其久[1] 孙铁军[2] 王开宝[3] 张玉峰[3] Qi-jiu ZHANG;Tie-jun SUN;Kai-bao WANG;Yu-feng ZHANG(Office of Research Affairs,Beihua University,Jilin 132013,China;College of Electrical and Information Engineering,Beihua University,Jilin 132021,China;School of Mechanical Engineering,Beihua University,Jilin 132021,China)

机构地区：[1]北华大学科学技术处,吉林吉林132021 [2]北华大学电气与信息工程学院,吉林吉林132021 [3]北华大学机械工程学院,吉林吉林132021

出　　处：《机床与液压》2020年第12期138-146,共9页Machine Tool & Hydraulics

基　　金：吉林省教育厅“十三五”科学技术项目“基于渐开线球形齿轮传动的柔性机械臂关键技术研究”(JJKH20170028KJ);吉林省科技发展计划(20140415015JH)。

摘　　要：针对热轧带钢层流冷却系统粗调区给定冷却路径和目标卷取温度的二维度多目标优化问题,提出了基于特征库和基因再造技术的多目标优化遗传算法,用来锁定粗调区集管的最佳开闭特征库。该算法通过历代Pareto前沿面的交集来建立特征库,从中挖掘出集管开闭的较优特征,将其嵌入至下一代种群,可有效抑制种群进化的漫游性和随机性;特征库采用动态竞争机制,使种群个体在全局寻优空间呈现更理想的并行搜索特性;特征库的随机舍取策略保证了历代Pareto前沿面在空间分布的均匀性,提高了系统对二维度多目标的均衡把控能力;最后,基于基因再造技术是驱动算法收敛于全局最优目标解群的强力引擎,是提高系统控制精度的有效措施。编写了基于MFC的仿真程序,仿真结果验证了该多目标优化策略的有效性和先进性。In order to solve the problem of two-dimensional multi-objective optimization of the given cooling path and the target coiling temperature in the rough tuning region of the laminar cooling system of hot rolled strip steel,a multi-objective optimization genetic algorithm based on the feature library and gene reconstruction technology is proposed to lock the optimal opening and closing feature library of the header in the roughing zone.In this algorithm,the intersection of Pareto front faces in previous generations is used to build a feature library,from which the optimal characteristics of header opening and closing are extracted and embedded into the next generation population,which can effectively inhibit the roam and randomness of population evolution.The dynamic competition mechanism is adopted in the feature base,which makes the individual population present more ideal parallel search characteristics in the global optimization space.The random rounding strategy of the feature library guarantees the uniformity of Pareto front plane distribution in space and improves the ability of the system to control the equilibrium of two dimensional multi-objective.Finally,gene reconstruction technology is a powerful engine to drive the algorithm to converge to the global optimal solution group,and it is an effective measure to improve the control accuracy of the system.The simulation program based on MFC is compiled,and the simulation results verify the effectiveness and advancement of the multi-objective optimization strategy.

关 键 词：Parteo前沿面 特征库 多目标优化 基因再造技术 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]