Temperature and humidity control system using fuzzy cognitive map

Intelligent Buildings have been more developed recently and tendency to be more intelligence is appeared. The intelligent buildings are the integration of four systems which are a Building Automation system (BAS), a Telecommunication of system (TS), an Office Automation system (OAS) and a computer...

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Main Author:	Behrooz, Farinaz
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Building - Automation Buildings - Environmental engineering Intelligent buildings - Energy consumption
Online Access:	http://psasir.upm.edu.my/id/eprint/33355/1/ITMA%202012%208R.pdf
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id	my-upm-ir.33355
record_format	uketd_dc
spelling	my-upm-ir.333552015-03-16T04:52:45Z Temperature and humidity control system using fuzzy cognitive map 2012-04 Behrooz, Farinaz Intelligent Buildings have been more developed recently and tendency to be more intelligence is appeared. The intelligent buildings are the integration of four systems which are a Building Automation system (BAS), a Telecommunication of system (TS), an Office Automation system (OAS) and a computer aided facility management system (CAFMS). Building Automation system (BAS) is a main part of each intelligent building which is an integration of subsystems such as heating, ventilating and airconditioning system (HVAC), lighting control, automatic fire alarm system and security system. HVAC system is energy consuming. Increasing the nonlinearity and uncertainty in recent electrical and mechanical building’s structures cause description of the system become more difficult or impossible mathematically. The relationships among system’s inputs and outputs govern on the mathematical model of the system. Due to the nonlinearity of time-variability and multivariability of the HVAC system by disturbances and uncertainties, to design and implement the proper control strategy is a challenge. Therefore, dynamical model of the HVAC system should be used to apply different control methods to minimise energy consumption. This thesis is mainly focused on closed loop control of HVAC system to control the energy usage and synchronously balance with desired temperature and humidity ratio values. Hence, designing a nonlinear control procedure should be considered. The Fuzzy Cognitive Maps (FCMs) control method had been applied on the system. In order to reach the energy efficiency and desired temperature and humidity ratio values, the affecting and affected parameters are defined. The results of the FCM control shows that the controller stabilizes the outputs on the desired steady state with no overshoot and undershoots. Building - Automation Buildings - Environmental engineering Intelligent buildings - Energy consumption 2012-04 Thesis http://psasir.upm.edu.my/id/eprint/33355/ http://psasir.upm.edu.my/id/eprint/33355/1/ITMA%202012%208R.pdf application/pdf en public masters Universiti Putra Malaysia Building - Automation Buildings - Environmental engineering Intelligent buildings - Energy consumption
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Building - Automation Buildings - Environmental engineering Intelligent buildings - Energy consumption
spellingShingle	Building - Automation Buildings - Environmental engineering Intelligent buildings - Energy consumption Behrooz, Farinaz Temperature and humidity control system using fuzzy cognitive map
description	Intelligent Buildings have been more developed recently and tendency to be more intelligence is appeared. The intelligent buildings are the integration of four systems which are a Building Automation system (BAS), a Telecommunication of system (TS), an Office Automation system (OAS) and a computer aided facility management system (CAFMS). Building Automation system (BAS) is a main part of each intelligent building which is an integration of subsystems such as heating, ventilating and airconditioning system (HVAC), lighting control, automatic fire alarm system and security system. HVAC system is energy consuming. Increasing the nonlinearity and uncertainty in recent electrical and mechanical building’s structures cause description of the system become more difficult or impossible mathematically. The relationships among system’s inputs and outputs govern on the mathematical model of the system. Due to the nonlinearity of time-variability and multivariability of the HVAC system by disturbances and uncertainties, to design and implement the proper control strategy is a challenge. Therefore, dynamical model of the HVAC system should be used to apply different control methods to minimise energy consumption. This thesis is mainly focused on closed loop control of HVAC system to control the energy usage and synchronously balance with desired temperature and humidity ratio values. Hence, designing a nonlinear control procedure should be considered. The Fuzzy Cognitive Maps (FCMs) control method had been applied on the system. In order to reach the energy efficiency and desired temperature and humidity ratio values, the affecting and affected parameters are defined. The results of the FCM control shows that the controller stabilizes the outputs on the desired steady state with no overshoot and undershoots.
format	Thesis
qualification_level	Master's degree
author	Behrooz, Farinaz
author_facet	Behrooz, Farinaz
author_sort	Behrooz, Farinaz
title	Temperature and humidity control system using fuzzy cognitive map
title_short	Temperature and humidity control system using fuzzy cognitive map
title_full	Temperature and humidity control system using fuzzy cognitive map
title_fullStr	Temperature and humidity control system using fuzzy cognitive map
title_full_unstemmed	Temperature and humidity control system using fuzzy cognitive map
title_sort	temperature and humidity control system using fuzzy cognitive map
granting_institution	Universiti Putra Malaysia
publishDate	2012
url	http://psasir.upm.edu.my/id/eprint/33355/1/ITMA%202012%208R.pdf
_version_	1747811698743443456

Temperature and humidity control system using fuzzy cognitive map

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