|本期目录/Table of Contents|

[1]石书培,褚建新*,周贤文.基于神经网络补偿的温湿度试验箱模糊解耦控制[J].工业仪表与自动化装置,2018,(05):67-70.[doi:1000-0682(2018)05-0000-00]
 SHI Shupei,CHU Jianxin*,ZHOU Xianwen.Fuzzy decoupling control of temperature and humidity chamber based on neural network compensation[J].Industrial Instrumentation & Automation,2018,(05):67-70.[doi:1000-0682(2018)05-0000-00]
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基于神经网络补偿的温湿度试验箱模糊解耦控制

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2018年05期
页码:
67-70
栏目:
出版日期:
2018-10-15

文章信息/Info

Title:
Fuzzy decoupling control of temperature and humidity chamber based on neural network compensation
作者:
石书培褚建新*周贤文
上海海事大学 物流科学与工程研究院,上海 201306
Author(s):
SHI Shupei CHU Jianxin* ZHOU Xianwen
Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
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
Keywords:
temperature and humidity chamber decoupling control fuzzy control fuzzy compensation neural network compensation
分类号:
TP273
DOI:
1000-0682(2018)05-0000-00
文献标志码:
A
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进行对温湿度试验箱内部的温湿耦合关系进行补偿。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。
Abstract:
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.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-02-08
作者简介:石书培(1994),男,四川人,硕士研究生,主要研究领域为检测技术。
通信作者:褚建新(1955),男,上海人,教授,博士研究生导师,主要研究领域为检测技术。
更新日期/Last Update: 2018-10-15