Modeling and control of ventilation and heating system using neuro-fuzzy inference system

Dealing with the nonlinearities and uncertainties in Ventilation and Heating System are the main challenges in developing a reliable model for the system. In this project, artificial neural network (ANN) modeling technique was used as it has demonstrated the capability of handling certain uncertaint...

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Main Author:	Zaudi, Nur Qamarina
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/54605/1/NurQamarinaZaudiMFKE2015.pdf
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id	my-utm-ep.54605
record_format	uketd_dc
spelling	my-utm-ep.546052020-10-20T07:51:29Z Modeling and control of ventilation and heating system using neuro-fuzzy inference system 2015-06 Zaudi, Nur Qamarina TK Electrical engineering. Electronics Nuclear engineering Dealing with the nonlinearities and uncertainties in Ventilation and Heating System are the main challenges in developing a reliable model for the system. In this project, artificial neural network (ANN) modeling technique was used as it has demonstrated the capability of handling certain uncertainties. The laboratory scale ventilation and heating system, VVS-400 equipped with RTD temperature sensor and orifice plate as flow sensor is chosen as the case study. The input-output data of the system was collected experimentally in building ANN model for the plant. Large portion of the pre-treated data were used to train the ANN model. The remaining portion were used to test the generalization capabilities of the realized ANN model. The prediction performances of the model were evaluated using root-mean square error (RMSE) and correlation coefficient (R). A neuro-fuzzy controller was designed to control the air temperature of the system. The simulation studies were achieved through the use of MATLAB/Simulink software. 2015-06 Thesis http://eprints.utm.my/id/eprint/54605/ http://eprints.utm.my/id/eprint/54605/1/NurQamarinaZaudiMFKE2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:86024 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Zaudi, Nur Qamarina Modeling and control of ventilation and heating system using neuro-fuzzy inference system
description	Dealing with the nonlinearities and uncertainties in Ventilation and Heating System are the main challenges in developing a reliable model for the system. In this project, artificial neural network (ANN) modeling technique was used as it has demonstrated the capability of handling certain uncertainties. The laboratory scale ventilation and heating system, VVS-400 equipped with RTD temperature sensor and orifice plate as flow sensor is chosen as the case study. The input-output data of the system was collected experimentally in building ANN model for the plant. Large portion of the pre-treated data were used to train the ANN model. The remaining portion were used to test the generalization capabilities of the realized ANN model. The prediction performances of the model were evaluated using root-mean square error (RMSE) and correlation coefficient (R). A neuro-fuzzy controller was designed to control the air temperature of the system. The simulation studies were achieved through the use of MATLAB/Simulink software.
format	Thesis
qualification_level	Master's degree
author	Zaudi, Nur Qamarina
author_facet	Zaudi, Nur Qamarina
author_sort	Zaudi, Nur Qamarina
title	Modeling and control of ventilation and heating system using neuro-fuzzy inference system
title_short	Modeling and control of ventilation and heating system using neuro-fuzzy inference system
title_full	Modeling and control of ventilation and heating system using neuro-fuzzy inference system
title_fullStr	Modeling and control of ventilation and heating system using neuro-fuzzy inference system
title_full_unstemmed	Modeling and control of ventilation and heating system using neuro-fuzzy inference system
title_sort	modeling and control of ventilation and heating system using neuro-fuzzy inference system
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/54605/1/NurQamarinaZaudiMFKE2015.pdf
_version_	1747817686778249216

Modeling and control of ventilation and heating system using neuro-fuzzy inference system

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