A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems

被引：87

作者：

Alcalá, R ^{[1
]}

Casillas, J ^{[1
]}

Cordón, O ^{[1
]}

González, A ^{[1
]}

Herrera, F ^{[1
]}

机构：

[1] Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain

来源：

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2005年 / 18卷 / 03期

关键词：

HVAC systems; fuzzy logic controllers; weighted fuzzy rules; rule selection; genetic algorithms;

D O I：

10.1016/j.engappai.2004.09.007

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose the use of weighted linguistic fuzzy rules in combination with a rule selection process to develop accurate fuzzy logic controllers dedicated to the intelligent control of heating, ventilating and air conditioning systems concerning energy performance and indoor comfort requirements. To do so, a genetic optimization process considering an efficient approach to perform rule weight derivation and rule selection is developed. This allows the tuning of the system to be developed at the rule level. The proposed technique was tested considering a physical modelization of a real test site. (c) 2004 Elsevier Ltd. All rights reserved.

引用

页码：279 / 296

页数：18

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