| 基于模糊-遗传算法的智能自适应PID控制系统参数优化 |
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| 引用本文： | 刘青松. 基于模糊-遗传算法的智能自适应PID控制系统参数优化[J]. 电气传动自动化, 2006, 28(2): 8-12 |
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| 作者姓名： | 刘青松 |
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| 作者单位： | 嘉兴学院,电气工程系,浙江,嘉兴,314001 |
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| 摘 要： | 基于模糊控制和遗传算法的优化方法,提出了智能自适应PID控制器参数优化的设计方法,以种群多样性为标准进行阶段的划分,并在优化进入到微调阶段进行模糊变异,通过算法的改进使得在PID控制中,PID参数的整定不依赖于对象的数学模型,且能在线调整,算例结果表明了该算法的有效性。
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| 关 键 词： | 联赛竞争遗传算法 模糊控制 PID控制器 |
| 文章编号： | 1005-7277(2006)02-0008-05 |
| 修稿时间： | 2005-01-25 |
Optimum parameter of intelligent adaptive PID controller based on fuzzy-genetic algorithm |
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| LIU Qing-song. Optimum parameter of intelligent adaptive PID controller based on fuzzy-genetic algorithm[J]. Electrical Drive Automation, 2006, 28(2): 8-12 |
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| Authors: | LIU Qing-song |
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| Abstract: | Based on AG and fuzzy algorithm an optimum parameter of intelligent adaptive controller of PID is presented which can be applied to the optimum parameter. The evolutive phase is ploted by population diversity and process fuzzy variation in the anaphase. The parameter of controller don't depend on method of object and can be adjusted online. Simulation results for a practical example show that the method is effective. |
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| Keywords: | competition adaptation-GA based on elitist fuzzy logical control PID control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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