| 基于ANFIS的非线性电机系统的建模 |
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| 引用本文： | 丛爽,高雪鹏. 基于ANFIS的非线性电机系统的建模[J]. 控制工程, 2002, 9(1): 6-8 |
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| 作者姓名： | 丛爽 高雪鹏 |
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| 作者单位： | 中国科学技术大学自动化系,安徽合肥,230027 |
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| 摘 要： | 将一种神经—模糊结构—自适应神经模糊推理系统 (简称ANFIS)用于非线性电机系统的建模 ,获得了一个良好的大范围的全局非线性模型 ,同时 ,通过与反向传播网络建模结果的性能对比 ,说明ANFIS在参数收敛速度及建模精度上的优越性。显示出ANFIS是非线性系统的建模、辨识的有力工具
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| 关 键 词： | 非线性动态系统 神经模糊建模 自适应神经模糊推理系统 反向传播网络 混合学习算法 |
| 文章编号： | 1005-3662(2002)01-0006-03 |
| 修稿时间： | 2001-05-09 |
Modeling of Nonlinear Electric Motor System Based on ANFIS |
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| CONG Shuang,GAO Xue peng. Modeling of Nonlinear Electric Motor System Based on ANFIS[J]. Control Engineering of China, 2002, 9(1): 6-8 |
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| Authors: | CONG Shuang GAO Xue peng |
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| Abstract: | A neural fuzzy construction adaptive neural fuzzy inference system (ANFIS) is used to model nonlinear electric motor system in this paper. A good global nonlinear model in a large scale is obtained, and at the same time, the advantages in the convergence velocity and in the accuracy of the modeling are illustrated by means of the comparison with the property of back propagation network, which shows that the ANFIS is a powerful tool of modeling and discriminating the nonlinear system. |
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| Keywords: | nonlinear dynamic system neural fuzzy modeling adaptive neural fuzzy inference system (ANFIS) back propagation neural networks(BPNN) hybrid learning algorithm |
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