| 一种PID型模糊神经网络控制器 |
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| 引用本文： | 王印松,刘武林. 一种PID型模糊神经网络控制器[J]. 系统仿真学报, 2003, 15(3): 389-392 |
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| 作者姓名： | 王印松 刘武林 |
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| 作者单位： | 1. 华北电力大学动力工程系,保定,071003
2. 湖南省电力试验研究所,长沙,410000 |
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| 基金项目： | 华北电力大学博士学位基金资助(2000BJ0005) |
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| 摘 要： | 为了使一种基于两维控制规则基的PID型模糊控制器具有参数在线学习功能，提出了一种包含一个自回归神经元的五层模糊神经网络，并根据梯度下降法，给出了它各权值的修正算法，该网络可以在反馈控制系统中作为一个自学习控制器来使用，最后，根据有关定理，给出并证明了该网络各层权值学习速率的收敛准则。
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| 关 键 词： | 模糊逻辑 神经网络 模糊神经网络 学习速率 PID控制 |
| 文章编号： | 1004-731X(2003)03-0389-04 |
| 修稿时间： | 2002-05-21 |
A Kind of PID-Typed Fuzzy Neural Network Controller |
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| WANG Yin-song,Liu Wu-lin. A Kind of PID-Typed Fuzzy Neural Network Controller[J]. Journal of System Simulation, 2003, 15(3): 389-392 |
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| Authors: | WANG Yin-song Liu Wu-lin |
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| Affiliation: | WANG Yin-song1,Liu Wu-lin2 |
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| Abstract: | In order to realize the self-learning ability of a kind of PID-typed fuzzy controller designed only using two-dimension rule base, we design a five-layer fuzzy neural network which contains a self-recurrent neuron and propose the weights correcting method of all its layers on the gradient descent algorithm. This network can be used as a self-learning controller in the feedback control system. It is also given and proved the convergent theorem of the weights learning rate in the network based on the relative theorem. |
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| Keywords: | fuzzy logic neural networks fuzzy neural networks learning rate PID control. |
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