| 基于改进遗传算法的控制器参数优化 |
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| 引用本文： | 李雅梅,叶景楼,孟庆春.基于改进遗传算法的控制器参数优化[J].辽宁工程技术大学学报(自然科学版),2005,24(Z1):126-128. |
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| 作者姓名： | 李雅梅 叶景楼 孟庆春 |
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| 作者单位： | 辽宁工程技术大学,电气工程系,辽宁,阜新,1213000 |
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| 摘 要： | 针对标准遗传算法易发生成熟前收敛和收敛速度过慢的缺点,提出了保护优秀个体、引入外来移民以及采用自适应交叉和变异算子等改进策略.综合分析了它们对算法收敛性的影响.应用改进遗传算法对PID控制器参数进行优化设计,并与传统的ZN法、简单遗传算法进行比较,仿真结果表明控制系统的时域性能指标有极大改善.
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| 关 键 词： | 遗传算法 优化设计 系统仿真 PID控制器 |
| 文章编号： | 1008-0562(2005)增刊-0126-03 |
| 修稿时间： | 2004年12月20 |
Optimizing of parameters of PID controller based on modified genetic algorithm |
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| LI Ya-mei,YE Jing-lou,MENG Qing-chun.Optimizing of parameters of PID controller based on modified genetic algorithm[J].Journal of Liaoning Technical University (Natural Science Edition),2005,24(Z1):126-128. |
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| Authors: | LI Ya-mei YE Jing-lou MENG Qing-chun |
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| Abstract: | Some improvements like protecting the best individual, accepting immigrations as well as employing adaptive crossover and mutation operators are presented to overcome the slow and premature convergence shortages of canonical genetic algorithms. Analysis is made on their effects on algorithm convergence. Better time domain performances of control system are achieved compared with traditional Ziegler Nichols method and simple genetic algorithms by applying this modified genetic algorithms to optimizing parameters of PID controller. |
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| Keywords: | genetic algorithm optimization system simulation PID controller |
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