| 基于自适应遗传算法的PID参数寻优 |
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| 引用本文： | 王海华 邹凌 宋蕾. 基于自适应遗传算法的PID参数寻优[J]. 鞍山科技大学学报, 2007, 30(4): 343-345,359 |
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| 作者姓名： | 王海华 邹凌 宋蕾 |
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| 作者单位： | [1]辽宁科技大学电子与信息工程学院,辽宁鞍山114051 [2]江苏工业学院,江苏常州213164 |
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| 摘 要： | 针对工业过程中常见的二阶大滞后对象的PID参数调节问题,采用自适应遗传算法对PID控制进行参数寻优,并将结果与常用的PID参数寻优方法进行比较,仿真实验结果表明,在PID参数的寻优问题中,自适应遗传算法采用自动改变变异概率的方法,提高了控制系统的自适应性。
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| 关 键 词： | PID参数调节 自适应遗传算法 变异概率 |
| 文章编号： | 1672-4410（2007）04-0343-04 |
| 收稿时间： | 2007-03-20 |
| 修稿时间： | 2007-03-20 |
PID parameter optimization based on adaptive genetic algorithm |
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| WANG Hai-hua , ZOU Ling, SONG Lei. PID parameter optimization based on adaptive genetic algorithm[J]. Journal of Anshan University of Science and Technology, 2007, 30(4): 343-345,359 |
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| Authors: | WANG Hai-hua ZOU Ling SONG Lei |
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| Affiliation: | 1. School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, China; 2. Jiangsu Industry Institute, Changzhou 213164, China |
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| Abstract: | Aimed at PID parameter adjustment of second-order system models with long time-delay,which is common in industry process,adaptive generic algorithm(AGA) was adopted to optimize parameter on PID control,whose result was compared with the method of common PID parameter optimization.Simulation experiment result shows that AGA adopts the method of automatic change of mutation probability,which improves the self-adaptation,in the optimizing problem of PID parameter. |
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| Keywords: | PID parameter adjustment adaptive genetic algorithm mutation probability |
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