基于神经网络补偿的温湿度试验箱模糊解耦控制  

Fuzzy decoupling control of temperature and humidity chamber based on neural network compensation

作　　者：石书培 褚建新 周贤文 SHI Shupei;CHU Jianxin;ZHOU Xianwen(Institute of Logistics Science and Engineering,Shanghai Maritime University,Shanghai 201306,China)

机构地区：[1]上海海事大学物流科学与工程研究院,上海201306

出　　处：《工业仪表与自动化装置》2018年第5期67-70,84,共5页Industrial Instrumentation & Automation

摘　　要：该文分析温湿度试验箱内部的温湿度耦合关系,提出采用模糊控制方法作为温湿度试验箱温度和湿度的控制方法,并采用模糊补偿方法和神经网络补偿方法对温湿度试验箱内部的温湿度耦合关系进行补偿。结果表明,该文所提出的方法可以对温湿度试验箱的温湿度进行解耦控制,使控制精度大大提高。In this paper,the temperature and humidity coupling relationship between the temperature and humidity chamber is analyzed,and the fuzzy control method is used as the control method of the temperature and humidity of the temperature and humidity chamber.The fuzzy compensation method and the neural network compensation method are used to control the temperature and humidity.The temperature and humidity coupling relationship to compensate.The results show that the proposed method can decouple the temperature and humidity of the temperature and humidity chamber to improve the control precision.

关 键 词：温湿度试验箱 解耦控制 模糊控制 模糊补偿 神经网络补偿 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]