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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| Format: | Thesis |
| Language: | English |
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2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/33355/ http://psasir.upm.edu.my/id/eprint/33355/1/ITMA%202012%208R.pdf |
| _version_ | 1848847472415211520 |
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| author | Behrooz, Farinaz |
| author_facet | Behrooz, Farinaz |
| author_sort | Behrooz, Farinaz |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T09:19:09Z |
| format | Thesis |
| id | upm-33355 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:19:09Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-333552015-03-16T04:52:45Z http://psasir.upm.edu.my/id/eprint/33355/ Temperature and humidity control system using fuzzy cognitive map 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. 2012-04 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/33355/1/ITMA%202012%208R.pdf Behrooz, Farinaz (2012) Temperature and humidity control system using fuzzy cognitive map. Masters thesis, Universiti Putra Malaysia. 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 |
| title | 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_short | Temperature and humidity control system using fuzzy cognitive map |
| title_sort | temperature and humidity control system using fuzzy cognitive map |
| topic | Building - Automation Buildings - Environmental engineering Intelligent buildings - Energy consumption |
| url | http://psasir.upm.edu.my/id/eprint/33355/ http://psasir.upm.edu.my/id/eprint/33355/1/ITMA%202012%208R.pdf |