| 基于遗传算法的FUZZY+CMAC优化设计 |
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| 引用本文： | 张平,苑明哲,王宏.基于遗传算法的FUZZY+CMAC优化设计[J].电机与控制学报,2006,10(2):195-198. |
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| 作者姓名： | 张平 苑明哲 王宏 |
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| 作者单位： | 中国科学院,沈阳自动化研究所,辽宁,沈阳,110016;中国科学院,研究生院,北京,100039;中国科学院,沈阳自动化研究所,辽宁,沈阳,110016 |
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| 摘 要： | 针对模糊控制器甲的参数与CMAC权值的调整及学习很困难的问题，采用改进的遗传算法对模糊控制器和CMAC神经网络的比例因子和连接权值进行寻优，把模糊控制、CMAC和遗传算法的优点结合起来，设计了基于改进遗传算法的FUZZY＋CMAC控制系统，给出了系统的整体结构和各部分的控制设计。仿真结果表明，该控制系统具有超调量小和实时性强的特点。
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| 关 键 词： | CMAC 模糊控制 遗传算法 并行结构 |
| 文章编号： | 1007-449X（2006）02-0195-04 |
| 收稿时间： | 2004-09-21 |
| 修稿时间： | 2005-04-05 |
Optimization design of a fuzzy CMAC controller based on a GA parallel structure |
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| ZHANG Ping,YUAN Ming-zhe,WANG Hong.Optimization design of a fuzzy CMAC controller based on a GA parallel structure[J].Electric Machines and Control,2006,10(2):195-198. |
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| Authors: | ZHANG Ping YUAN Ming-zhe WANG Hong |
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| Abstract: | Aiming at the parameters of fuzzy controller and CMAC neural network are difficult to tune,a modified GA is introduced to the control system to optimize the parameters of fuzzy controller and CMAC neural network.The strong points of fuzzy control,CMAC and genetic are fell together.A FUZZY CMAC control system is designed based on modified GA.Both the overall architecture of the system and the design of every part are proposed here.The results of simulation show that the proposed control system has better performance in the overshoot and real-time. |
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| Keywords: | CMAC |
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