| 基于遗传算法的模糊控制器设计与仿真 |
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| 引用本文： | 毕妍,张庆生. 基于遗传算法的模糊控制器设计与仿真[J]. 机械工程与自动化, 2005, 0(3): 22-25 |
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| 作者姓名： | 毕妍 张庆生 |
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| 作者单位： | 1. 中国人民武装警察部队学院,河北,廊坊,065000
2. 大连理工大学,电子与信息工程学院,辽宁,大连,116023 |
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| 摘 要： | 模糊控制中隶属度函数的正确选择是模糊控制器设计的关键，它决定了模糊控制系统的动态、静态性能和控制效果。针对传统的获取隶属度函数方法的不足，提出了在一个待优化模糊控制器的基础上，采用改进的遗传算法优化其隶属度函数，从而使经过优化所获得的枣属度函数更加合理。最后对优化后的模糊控制器进行仿真比较研究，结果表明隶属度函数经过优化后的模糊控制器的控制品质有较大的改善和提高。
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| 关 键 词： | 模糊控制 隶属度函数 遗传算法 仿真 |
| 文章编号： | 1672-6413(2005)03-0022-03 |
| 修稿时间： | 2004-12-13 |
Design and Simulation of Fuzzy Controller Based on Genetic Algorithms |
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| BI Yan,ZHANG Qing-sheng. Design and Simulation of Fuzzy Controller Based on Genetic Algorithms[J]. Mechanical Engineering & Automation, 2005, 0(3): 22-25 |
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| Authors: | BI Yan ZHANG Qing-sheng |
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| Affiliation: | BI Yan~1,ZHANG Qing-sheng~2 |
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| Abstract: | The correct choice of membership function in fuzzy control is the key to fuzzy controller's design.The dynamic performance and static performance and control effect in fuzzy control system are decided by membership function.To the lack of the traditional method of getting membership function,the membership function is optimized by the improved genetic algorithms.The optimized membership function is better than the traditional one.The research shows that the fuzzy controller with optimized membership function is improved on controller's quality. |
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| Keywords: | fuzzy control membership function genetic algorithms simulation |
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