Study on application of a neuro-fuzzy models in air conditioning systems

被引：11

作者：

Costa, Herbert R. do N. ^{[1
]}

La Neve, Alessandro ^{[2
]}

机构：

[1] Ctr Univ FEI, Dept Comp Sci, Sao Paulo, Brazil

[2] Ctr Univ FEI, Dept Elect Engn, Sao Paulo, Brazil

来源：

SOFT COMPUTING | 2015年 / 19卷 / 04期

关键词：

Air conditioning - Fuzzy control - Fuzzy systems - Automation - Fuzzy neural networks - Fuzzy inference - Decision trees - Three term control systems;

D O I：

10.1007/s00500-014-1431-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present the application of neuro-fuzzy system-ANFIS for air conditioning systems to reduce electricity consumption. The current buildings have automation systems that provide data on lighting, electrical system, air conditioning system, etc. We studied the air conditioning system, in particular, to reduce energy consumption as air conditioning has a high consumption value. Our main goal in this study is the application of neuro-fuzzy system-ANFIS with the adjustment of the rules made by a decision tree-CART algorithm in air conditioning system. We compared the results of the application of the ANFIS-CART system with the application of PID controllers and fuzzy control system for a central air conditioning.

引用

页码：929 / 937

页数：9

共 25 条

[1] Advanced control systems for single compressor chiller units [J].