Neural network control for an intelligent air handler in an air-conditioning system

Many commercial air-conditioning systems in hot and humid areas like Singapore are operated throughout the year. There are two main classifications for these systems: the constant air volume (CAV) and variable air volume (VAV) systems. Currently, both CAV and VAV systems are designed to control the...

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Bibliographic Details
Main Author:	Zhang, Qi
Other Authors:	Fok Sai Cheong
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Mechanical engineering::Control engineering
Online Access:	https://hdl.handle.net/10356/5531
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-5531
record_format	dspace
spelling	sg-ntu-dr.10356-55312023-03-11T18:07:25Z Neural network control for an intelligent air handler in an air-conditioning system Zhang, Qi Fok Sai Cheong Wong Yew Wah School of Mechanical and Production Engineering DRNTU::Engineering::Mechanical engineering::Control engineering Many commercial air-conditioning systems in hot and humid areas like Singapore are operated throughout the year. There are two main classifications for these systems: the constant air volume (CAV) and variable air volume (VAV) systems. Currently, both CAV and VAV systems are designed to control the indoor temperature only, while leaving the space relative humidity to float during part load operation. Under varying load and external environmental conditions, general proportional-integral-derivative (PID) control technique may not be appropriate for the regulation of both the temperature and the relative humidity. MASTER OF ENGINEERING (MPE) 2008-09-17T10:52:47Z 2008-09-17T10:52:47Z 2003 2003 Thesis Zhang, Q. (2003). Neural network control for an intelligent air handler in an air-conditioning system. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/5531 10.32657/10356/5531 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Mechanical engineering::Control engineering
spellingShingle	DRNTU::Engineering::Mechanical engineering::Control engineering Zhang, Qi Neural network control for an intelligent air handler in an air-conditioning system
description	Many commercial air-conditioning systems in hot and humid areas like Singapore are operated throughout the year. There are two main classifications for these systems: the constant air volume (CAV) and variable air volume (VAV) systems. Currently, both CAV and VAV systems are designed to control the indoor temperature only, while leaving the space relative humidity to float during part load operation. Under varying load and external environmental conditions, general proportional-integral-derivative (PID) control technique may not be appropriate for the regulation of both the temperature and the relative humidity.
author2	Fok Sai Cheong
author_facet	Fok Sai Cheong Zhang, Qi
format	Theses and Dissertations
author	Zhang, Qi
author_sort	Zhang, Qi
title	Neural network control for an intelligent air handler in an air-conditioning system
title_short	Neural network control for an intelligent air handler in an air-conditioning system
title_full	Neural network control for an intelligent air handler in an air-conditioning system
title_fullStr	Neural network control for an intelligent air handler in an air-conditioning system
title_full_unstemmed	Neural network control for an intelligent air handler in an air-conditioning system
title_sort	neural network control for an intelligent air handler in an air-conditioning system
publishDate	2008
url	https://hdl.handle.net/10356/5531
_version_	1761781817335087104

Neural network control for an intelligent air handler in an air-conditioning system

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