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基于模糊神经网络的发电厂自适应配煤控制
引用本文:宋国强,王致杰. 基于模糊神经网络的发电厂自适应配煤控制[J]. 电气自动化, 2007, 29(5): 19-20,23
作者姓名:宋国强  王致杰
作者单位:上海电机学院电气学院,上海,200240;上海电机学院电气学院,上海,200240
摘    要:根据发电厂灰分控制的时变、滞后和非线性特性,本文提出了一种基于人工神经网络与模糊控制相结合的控制器。利用人工神经网络的自学习、自适应和并行处理的能力,将模糊控制规则转化为神经网络的学习样本,通过FNN的BP学习算法记忆这些规则样本。实验表明该控制器具有响应速度快、精度高和鲁棒性强的特点。

关 键 词:电厂  模糊神经网络  BP算法
文章编号:1000-3886(2007)05-0019-03

Self-adaptive Admeasuring Coal Control of Power Plant Based on Fuzzy Artificial Neural Network
Song Guoqiang,Wang Zhijie. Self-adaptive Admeasuring Coal Control of Power Plant Based on Fuzzy Artificial Neural Network[J]. Electrical Automation, 2007, 29(5): 19-20,23
Authors:Song Guoqiang  Wang Zhijie
Affiliation:Shanghai DianJi University, Shanghai 200240, China
Abstract:According to power plant characteristics, this paper proposes a controller that combine the artificial neural network with fuzzy model and algorithm, establishing artificial neural network fuzzy control model of admeasuring coal controlling of self-adaptive, and verify its pos- sibility and advantage.
Keywords:power plant fuzzy neural network BP algorithm
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