基于模糊RBF神经网络的主汽温控制系统

The Research of Main Steam Temperature Control System Based on Fuzzy Neural Network

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。

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.