Design of Room Temperature Control System for Inverter Air Conditioner Based on Fuzzy Neural Network

被引：0
|
作者：
Chen, Rui-xing [1 ]
Chen, Yi [1 ]
Chen, Jian-bo [2 ,3 ]
Deng, Chun-yuan [1 ]
Mo, Di [1 ]
机构：
[1] Guilin Univ Elect Technol, Elect Engn & Automat Coll, Guilin, Peoples R China
[2] Hisense Kelon Elect Holdings Co Ltd, Foshan, Peoples R China
[3] Hisense Guangdong Air Conditioner Co Ltd, Jiangmen, Guangdong, Peoples R China
来源：
2018 INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL, AUTOMATION AND ROBOTICS (ECAR 2018) | 2018年 / 307卷
关键词：
Inverter air conditioner; Fuzzy neural network; Indoor environment; Temperature control; Overshoot; Simulation;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
With the progress of science and technology and the demand of people for material life, smart home appliances have become an inevitable trend of the development of household appliances in the future. In the face of widely used inverter air conditioner and its fast temperature regulation demand for closed indoor environment, the design of fuzzy neural network controller with inverter air conditioner is designed on the basis of setting up the transfer function model of indoor temperature and environment, which is compared with traditional PID and its fuzzy control by simulation and verification. The speed and stability of adjusting the temperature of closed indoor rooms have achieved better results.
引用
收藏
页码：115 / 120
页数：6
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