基于模糊神经网络的温室温湿度智能控制系统研究  

Research on control system of greenhouse temperature and humidity based on fuzzy neural network

作　　者：吴晓强[1] 黄云战[2] 赵永杰 

机构地区：[1]内蒙古民族大学机械工程学院,内蒙古通辽028000 [2]云南农业大学工程技术学院,昆明市650201 [3]昆明铁道职业技术学院,昆明市650208

出　　处：《中国农机化学报》2016年第4期63-66,84,共5页Journal of Chinese Agricultural Mechanization

基　　金：国家科技部农业科技成果转化项目(2011GB2F300003);云南省科技富民强县计划项目(2011EB117)

摘　　要：针对温室非线性、时变性、延时性、多变量耦合等问题,对温度、湿度、光照强度和CO2浓度等环境因子进行分析,把模糊推理运用到温室环境控制系统,利用专家经验和知识行为转化为相应的模糊控制规则;结合神经网络控制理论,以温度和湿度作为主要控制变量设计模糊神经网络控制系统。仿真结果表明,该系统响应速度快,抗干扰能力强,对温室环境中温湿度有较好的控制效果,可为智能温室自动控制系统设计提供一定参考。For greenhouse nonlinear,time-varying,time delay and multivariable coupling problems,the temperature,humidity,light intensity and CO2 concentration and other environmental factors were analyzed,the fuzzy inference is applied to the control systems of greenhouse environment,then transforms expert experience and knowledge behavior into the corresponding fuzzy control rules;combined with theory of neural network control,and temperature and humidity as control variable fuzzy neural network control system is established.The simulation results show that the system response fast,strong anti-jamming capability,combined with theory of neural network control,it has a better control effect on the temperature and humidity in the greenhouse environment,and provide some reference for the design on intelligent greenhouse automatic control system.And provide a reference of intelligent greenhouse environment control system.

关 键 词：温湿度 智能控制系统 模糊神经网络 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置]