[1]梅领,罗杰. 基于改进合作协同进化算法PID整定[J].计算机技术与发展,2017,27(08):37-42.
　MEI Ling,LUO Jie. PID Parameters Optimization with Improved Cooperative Coevolution Algorithm[J].,2017,27(08):37-42.
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 基于改进合作协同进化算法PID整定()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年08期
页码:
37-42
栏目:
智能、算法、系统工程
出版日期:
2017-08-10

文章信息/Info

Title:
 PID Parameters Optimization with Improved Cooperative Coevolution Algorithm
文章编号:
1673-629X（2017)08-0037-06
作者:
 梅领; 罗杰
 南京邮电大学 自动化学院
Author(s):
 MEI Ling; LUO Jie
关键词:
 ; PID参数整定; 协同进化; 排序策略; 优化目标函数
Keywords:
 ; PID parameter tuning; co-evolution; sorting strategy; optimization objective function
分类号:
TP301.6
文献标志码:
A
摘要:
 针对复杂系统PID控制的参数整定问题,为在给定性能指标下实现PID三个参数以协同进化方式自动搜索的最佳组合,提出了一种基于改进合作协同进化的PID控制器参数优化方法.该方法根据PID控制器模型,设计了更具有针对性的PID参数优化目标函数,结合协同进化算法对参数进行最优组合,并在合作协同进化算法的基础上,提出了PID参数协同进化之前执行分组排序策略,依据处理结果选择确定最优组作为下一代协同进化的代表组合,根据代表组合评估分组排序优劣.仿真结果表明,所提出的新型合作协同进化算法应用于PID参数相比传统的进化算法具有更好的优化效果,且算法的收敛速度快、自适应性强、精确度高,显现出较好的应用前景.
Abstract:
 Aiming at the parameter tuning problem of PID control in complex system,a parameter optimization method of PID controller based on improved collaborative coevolution has been proposed to realize the optimal combination of three parameters of PID in the co-evolutionary way under the given performance index.Based on the PID controller model,a more optimized objective function of PID parameters has been designed.Combined with the cooperative co-evolutionary algorithm for optimization of the parameters,the group sorting strategy before PID parameters co-evolution is put forward based on the cooperative evolution algorithm.The optimal group is selected as the next generation of representative combination of co-evolution in accordance with results of group sorting strategy to evaluate the merits of packet sorting.The simulation results show that the proposed algorithm has better optimization effect than the traditional one,and has fast convergence speed,strong adaptability and high precision,with a better application prospects.

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更新日期/Last Update: 2017-09-20