Modeling and controller design for heating and ventilation control system using system identification approach

System modeling is an important task to develop a mathematical model that describes the dynamics of a system. The scope of work for this project consists of modeling and controller design for a particular system. A heating and ventilation model VVS-400 from Instrutek, Larvik, Norway is the system to...

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Main Author:	Mohd. Subha, Nurul Adilla
Format:	Thesis
Language:	English
Published:	2009
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/18416/1/NurulAdillaSubhaMFKE2009.pdf
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id	my-utm-ep.18416
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spelling	my-utm-ep.184162018-06-25T09:01:58Z Modeling and controller design for heating and ventilation control system using system identification approach 2009 Mohd. Subha, Nurul Adilla TK Electrical engineering. Electronics Nuclear engineering System modeling is an important task to develop a mathematical model that describes the dynamics of a system. The scope of work for this project consists of modeling and controller design for a particular system. A heating and ventilation model VVS-400 from Instrutek, Larvik, Norway is the system to be modeled and will be perturbed by pseudo random binary sequences (PRBS) signal. Parametric approach using ARX model structure will be use to estimate the mathematical model or approximated model plant of the VVS-400. The approximated plant model is estimated using System Identification approach. The conventional PID controller and artificial Fuzzy controller are designed based on the approximated plant model and also real plant model where the real plant model is developed by interfacing the Real-time Windows Target toolbox in Matlab with real VVS-plant by using data acquisition (DAQ) card PCI-1711. An artificial Fuzzy controller approach is incorporated in two ways which are conventional Fuzzy logic controller (FLC) and a replacement of conventional fuzzy controller known as Single Input Fuzzy Logic Controller (SIFLC). Simulations and experiment validate the equivalency of both controllers. Results reveal that SIFLC found to be better than FLC due to its less computation time compared to conventional FLC. 2009 Thesis http://eprints.utm.my/id/eprint/18416/ http://eprints.utm.my/id/eprint/18416/1/NurulAdillaSubhaMFKE2009.pdf application/pdf en public 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 Mohd. Subha, Nurul Adilla Modeling and controller design for heating and ventilation control system using system identification approach
description	System modeling is an important task to develop a mathematical model that describes the dynamics of a system. The scope of work for this project consists of modeling and controller design for a particular system. A heating and ventilation model VVS-400 from Instrutek, Larvik, Norway is the system to be modeled and will be perturbed by pseudo random binary sequences (PRBS) signal. Parametric approach using ARX model structure will be use to estimate the mathematical model or approximated model plant of the VVS-400. The approximated plant model is estimated using System Identification approach. The conventional PID controller and artificial Fuzzy controller are designed based on the approximated plant model and also real plant model where the real plant model is developed by interfacing the Real-time Windows Target toolbox in Matlab with real VVS-plant by using data acquisition (DAQ) card PCI-1711. An artificial Fuzzy controller approach is incorporated in two ways which are conventional Fuzzy logic controller (FLC) and a replacement of conventional fuzzy controller known as Single Input Fuzzy Logic Controller (SIFLC). Simulations and experiment validate the equivalency of both controllers. Results reveal that SIFLC found to be better than FLC due to its less computation time compared to conventional FLC.
format	Thesis
qualification_level	Master's degree
author	Mohd. Subha, Nurul Adilla
author_facet	Mohd. Subha, Nurul Adilla
author_sort	Mohd. Subha, Nurul Adilla
title	Modeling and controller design for heating and ventilation control system using system identification approach
title_short	Modeling and controller design for heating and ventilation control system using system identification approach
title_full	Modeling and controller design for heating and ventilation control system using system identification approach
title_fullStr	Modeling and controller design for heating and ventilation control system using system identification approach
title_full_unstemmed	Modeling and controller design for heating and ventilation control system using system identification approach
title_sort	modeling and controller design for heating and ventilation control system using system identification approach
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2009
url	http://eprints.utm.my/id/eprint/18416/1/NurulAdillaSubhaMFKE2009.pdf
_version_	1747815269576736768

Modeling and controller design for heating and ventilation control system using system identification approach

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