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基于遗传算法的模糊神经网络温室温度控制器
引用本文:张素,刘宇,谢云芳. 基于遗传算法的模糊神经网络温室温度控制器[J]. 农机化研究, 2009, 31(10)
作者姓名:张素  刘宇  谢云芳
作者单位:河北农业大学机电工程学院,河北,保定071001;河北农业大学校办产业管理办公室,河北,保定071001
摘    要:
为了创造适合作物生长的环境,针对温室系统的特点提出了一种新的基于遗传算法的模糊神经网络控制器,利用遗传算法训练模糊神经网络模型,并采用此模糊神经网络控制器控制温室温度系统.运用该方法对温室温度控制系统进行了Matlab 仿真,结果表明:采用遗传模糊神经控制器的系统,不但提高了阶跃响应的快速性,而且大大减少了超调量.

关 键 词:温室温度  模糊神经网络  控制器  遗传算法

New Temperature Idity Fuzzy Neural Neural Network Controller Based on Improved Genetic Algorithm
Zhang Su,Liu Yu,Xie Yunfang. New Temperature Idity Fuzzy Neural Neural Network Controller Based on Improved Genetic Algorithm[J]. Journal of Agricultural Mechanization Research, 2009, 31(10)
Authors:Zhang Su  Liu Yu  Xie Yunfang
Affiliation:Agriculture University of Hebei;a.College of Mechanical and Electrical Engineering;b.The Office of the School-run Industrial Management System;Baoding 071001;China
Abstract:
The greenhouse is a complex system.There is strong coupling relationship among its environment ental factors in side greenhouse.So it's difficult to get satisfying effect by using conventional control methods.Based on the characteristics of the greenhouse,a new fuzzy neural network controller was proposd to create a proper condition for crop growth.The genetic algorithm was used to train the architecture of fuzzy neural network controller,which was adopted in the greenhouse.Finally,the simulations with Matl...
Keywords:the temperature of greenhouse  fuzzy neural network  controller  genetic algorithm  
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