基于对位学习多目标遗传算法的板形板厚控制  

Control of Shape and Gauge System Based on Opposition Learning Multi-objective Genetic Algorithm

作　　者：王昱[1] 李勇[2] 

机构地区：[1]沈阳航空航天大学自动化学院,辽宁110136 [2]沈阳工业大学"特种电机与高压电器"部省共建重点实验室,辽宁110870

出　　处：《系统仿真学报》2012年第4期863-867,共5页Journal of System Simulation

基　　金：辽宁省教育厅科学技术研究一般项目(201134123)

摘　　要：提出了一种基于对位学习多目标遗传算法的板形板厚控制系统设计方法。该方法给出了控制系统的结构,建立了板形板厚控制器参数的多目标优化模型,并采用对位学习多目标遗传算法对该模型进行多目标优化,得到一组控制器参数的Pareto解。在其中选择三个Pareto解对应的控制器参数,作用于板形板厚控制系统做仿真研究。结果表明,所得到的Pareto解集中选定区域的解都可以使系统具有满意的性能,并且对扰动有较好的抑制作用,证实了该方法的有效性。An opposition learning multi-objective genetic algorithm based shape and gauge control system design approach was proposed.First,structure of shape and gauge control system was designed,and then the multi-objective optimization model of controller parameter was established.Second opposition learning multi-objective genetic algorithm was applied to the model.As a result a set of Pareto solution of the controller parameter was obtained.Finally,three solutions in the Pareto solution set were picked up for the simulation.Result shows that solutions in the area selected among the Pareto solution set can make the system satisfy performance and better disturbance suppression.The validity of the proposed approach is confirmed.

关 键 词：对位学习 多目标遗传算法 板形板厚控制系统 多目标优化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]