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基于PLC的模糊神经网络控制系统的研究
引用本文:王效华,张咏梅.基于PLC的模糊神经网络控制系统的研究[J].南平师专学报,2009,28(2):78-82.
作者姓名:王效华  张咏梅
作者单位:王效华(武夷学院,电子工程系,福建,武夷山,354300);张咏梅(济源职业技术学院,机电系,河南,济源,454650) 
基金项目:福建省自然科学基金计划资助项目2007J0207),福建省教育厅科技项目 
摘    要:本文对活性白灰回转窑生产线进行了PLC系统配置,分析了T-S模型的模糊神经网络的结构,进一步分析了模糊神经网络的学习算法,给出模糊神经网络PID的结构和设计方法,并对该系统进行了仿真,证明该系统具有良好抗干扰和跟随能力。

关 键 词:PLC  模糊神经网络(FNN)  模糊神经网络PID  粗糙集  仿真

The Research of Fuzzy Neural Network Controller Based on PLC
WANG Xiaohua,ZHANG Yongmei.The Research of Fuzzy Neural Network Controller Based on PLC[J].Journal of Nanping Teachers College,2009,28(2):78-82.
Authors:WANG Xiaohua  ZHANG Yongmei
Institution:1. Wuyi University,Wuyishan,Fujian 354300 2. Jiyuan Vocational and Technical College, Henan Jiyuan 454650)
Abstract:This paper equippes the production line of PLC active lime Chain Gate Machine-rotary. It analyzes the structures of fuzzy neural network T-S models. Further Learning Algorithms of fuzzy neural networks is analyzed. The structure and the design method of fuzzy neural network PID are given. This paper also simulates the PID of FNN control system on computer and gets well results. The practice shows that the system is a good ability of anti-interference and following.
Keywords:PIE
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