Thermal comfort based fuzzy logic controller

被引：38

作者：

Gouda, M.M. ^{[1
]}

Danaher, S. ^{[1
]}

Underwood, C.P. ^{[1
]}

机构：

[1] School of the Built Environment, University of Northumbria, Newcastle upon Tyne NE1 8ST, United Kingdom

来源：

Building Services Engineering Research and Technology | 2001年 / 22卷 / 04期

关键词：

Fuzzy control - Space heating - Temperature control - Ventilation;

D O I：

10.1177/014362440102200403

中图分类号：

学科分类号：

摘要：

Most heating, ventilation and air conditioning (HVAC) control systems are considered as temperature control problems. In this work, the predicted mean vote (PMV) is used to control the indoor temperature of a space by setting it et a point where the PMV index becomes zero and the predicted percentage of persons dissatisfied (PPD) achieves a maximum threshold of 5%. This is achieved through the use of a fuzzy logic controller that takes into account a range of human comfort criteria in the formulation of the control action that should be applied to the heating system to bring the space to comfort conditions. The resulting controller is free of the set up and tuning problems that hinder conventional HVAC controllers. Simulation results show that the proposed control strategy makes it possible to maximize the indoor thermal comfort and, correspondingly, a reduction in energy use of 20% was obtained for a typical 7-day winter period when compared with conventional control.

引用

页码：237 / 253