| 基于遗传算法的模糊控制器规则优化 |
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| 引用本文： | 杨玺.基于遗传算法的模糊控制器规则优化[J].电气传动自动化,2010(5):41-44. |
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| 作者姓名： | 杨玺 |
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| 作者单位： | 兰州交通大学自动化与电气工程学院,甘肃兰州,730070 |
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| 基金项目： | 甘肃省兰州市科技计划项目资助(2008-01-03) |
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| 摘 要： | 模糊控制器设计的关键问题就是模糊控制规则的选择。基于遗传算法的模糊控制规则表优化,是为模糊控制提供一种更加方便、有效的查表法。为了提高模糊控制器的性能,提出了基于遗传算法的模糊控制器规则表的优化方法,并进行了仿真实验。仿真结果表明,在模糊控制中采用遗传算法使控制系统最终达到所要求的控制效果,证明了该方法的可行性和有效性。
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| 关 键 词： | 模糊控制 模糊规则 遗传算法 |
Optimization of fuzzy controller rules based on genetic algorithm |
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| YANG Xi.Optimization of fuzzy controller rules based on genetic algorithm[J].Electrical Drive Automation,2010(5):41-44. |
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| Authors: | YANG Xi |
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| Affiliation: | YANG Xi(School of Automation & Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China) |
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| Abstract: | The key problem of fuzzy controller design is the choice of fuzzy control rules.Optimization of fuzzy control rule table based on genetic algorithm provides readers with more convenient and effective look-up table.To improve the performance of fuzzy controller,optimal method of quantify rules of fuzzy controller based on genetic algorithm is proposed,the simulation experiment is done.The simulation results show that genetic algorithm is applied to the fuzzy control system,which can be achieve required effec... |
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| Keywords: | fuzzy controller fuzzy rules genetic algorithm |
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