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基于模糊RBF神经网络的主汽温控制系统
引用本文:曾蓉,段其昌.基于模糊RBF神经网络的主汽温控制系统[J].重庆电力高等专科学校学报,2007,12(2):38-40.
作者姓名:曾蓉  段其昌
作者单位:1. 重庆大学自动化学院,400044;重庆电力高等专科专科学校,400053
2. 重庆大学自动化学院,400044
摘    要:本文主要研究应用模糊神经网络实现主汽温控制系统,采用神经网络的学习能力来优化权值,在不同负荷下都取得了较好的控制效果.

关 键 词:主汽温  神经网络  模糊神经网络
文章编号:1008-8032(2007)02-0038-03
修稿时间:2007-04-10

The Research of Main Steam Temperature Control System Based on Fuzzy Neural Network
ZENG Rong,DUAN Qi-chang.The Research of Main Steam Temperature Control System Based on Fuzzy Neural Network[J].Journal of Chongqing Electric Power College,2007,12(2):38-40.
Authors:ZENG Rong  DUAN Qi-chang
Affiliation:1. College of Automation Chongqing University,Chongqing 400044;2. Chongqing Electric Power College,Chongqing 400053
Abstract:The paper talks about fuzzy neural network control that is a kind of compound intelligence control based on the nerve network theories and the fuzzy logic, the study ability of the neural network is used to optimize logical experience rule and adjust proportional gene, which can be realized to the valid control of the main steam temperature. And the use of the matlab proceeding simulative experiment, fuzzy neural network controller arrives the better simulative curve under the different load, we can find out fuzzy neural network control system has a very good robustness and very good control quality.
Keywords:main steam temperature  neural network  fuzzy network
本文献已被 CNKI 维普 万方数据 等数据库收录!
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