| 基于动态模糊神经网络的变桨距系统辨识 |
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| 引用本文： | 陈彦,李月明. 基于动态模糊神经网络的变桨距系统辨识[J]. 电气技术, 2011, 0(1): 18-20,28 |
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| 作者姓名： | 陈彦 李月明 |
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| 作者单位： | 沈阳工业大学;浙江吉利汽车研究院; |
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| 摘 要： | 针对风力发电机组运行过程难以建立精确的数学模型的特点,将动态模糊神经网络应用于风力发电变桨距系统的辨识中.该模糊神经网络的结构基于扩展的径向基神经网络,在功能上等价于TSK模糊系统,其学习算法的最大特点是参数的调整和结构的辨识同时进行,且学习速度快.通过对风力发电变桨距系统中桨距角和风力机转速的非线性动态过程所进行的仿...
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| 关 键 词： | 风力发电 变桨距 动态模糊神经网络 辨识 |
Identification of Variable-pitch System Based on Dynamic Fuzzy Neural Network |
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| Chen Yan,Li Yueming. Identification of Variable-pitch System Based on Dynamic Fuzzy Neural Network[J]. Electrical Engineering, 2011, 0(1): 18-20,28 |
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| Authors: | Chen Yan Li Yueming |
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| Affiliation: | Chen Yan1 Li Yueming2 (1.Shenyang University of Technology,Shenyang 110178,2. Zhejiang Geely Automobile Research Institute,Hangzhou 317000) |
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| Abstract: | For it is difficult to establish the accurate mathematical model of wind power generation, iidentification of variable-pitch system based on dynamic fuzzy neural network is presented in this paper. The structure of the fuzzy neural network is based on the extended radial basis neural network, whose function is equivalent to TSK fuzzy systems. And the greatest feature of the learning algorithms is that to adjust the parameters and to identify the structure are at the same time, which learning speed is very f... |
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| Keywords: | wind power generation variable pitch dynamic fuzzy neural network identification |
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