Modeling and controller design of a hot air blower system

This research describes the modeling and controller design of a hot air blower system (HABS). The purpose of this research is to obtain model estimation best fit over 90%. Furthermore, the purpose of this research is to design controllers which the overshoot percentage close to zero percent and obta...

Full description

Saved in:

Bibliographic Details
Main Author:	Wan Salihin Wong, Khairul Nizar Syazwan
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/48824/25/KhairulNizarSyazwanMFKE2014.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.48824
record_format	uketd_dc
spelling	my-utm-ep.488242020-06-24T03:39:14Z Modeling and controller design of a hot air blower system 2014-06 Wan Salihin Wong, Khairul Nizar Syazwan TK Electrical engineering. Electronics Nuclear engineering This research describes the modeling and controller design of a hot air blower system (HABS). The purpose of this research is to obtain model estimation best fit over 90%. Furthermore, the purpose of this research is to design controllers which the overshoot percentage close to zero percent and obtain a shorter rise time compare to current hot air blower system. The research divided into 3 area of focus, first focus on the development of Pseudo-Random Binary Sequences (PRBS) controller prototype to use as a System Identification Tool. The development of the controller was designed using PIC controllers. Testing was being conducted to ensure the controller is fully operational. Next, the output data from the hot air blower system (HABS) was captured for analysis. Second, the research focused on the modeling of a hot air blower system using System Identification and Estimation approach. By obtaining the mathematical model of a hot air blower system, tuning can be made possible. The output data was being run on MATLAB to compare between several of model structures. Model structures selected for this research are Auto-Regressive with eXogeneous inputs (ARX), Auto-Regressive Moving-Average with eXogeneous inputs (ARMAX), Output Error (OE) and Box–Jenkins (BJ). Result shows the eXogeneous inputs (ARX) obtained the highest best fit which best resemble the dynamic system of a hot air blower system (HABS) and was selected to be implemented in the controllers. Third area of focus is the simulation design of controllers; controllers which were selected for this research were PID controllers, Self-tuning controllers and Fuzzy controllers. The result obtained are shown in the Result and Analysis chapter, all controllers obtained zero overshoot percentage and have a shorter rise time then the current hot air blower system. Results showed the different in rise time, peak time, delay time and percentage overshoot varies depending on the controller. So, depending on the purpose in the industrial application, engineers can pick any controller to meet their desire task. 2014-06 Thesis http://eprints.utm.my/id/eprint/48824/ http://eprints.utm.my/id/eprint/48824/25/KhairulNizarSyazwanMFKE2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:83688 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 Wan Salihin Wong, Khairul Nizar Syazwan Modeling and controller design of a hot air blower system
description	This research describes the modeling and controller design of a hot air blower system (HABS). The purpose of this research is to obtain model estimation best fit over 90%. Furthermore, the purpose of this research is to design controllers which the overshoot percentage close to zero percent and obtain a shorter rise time compare to current hot air blower system. The research divided into 3 area of focus, first focus on the development of Pseudo-Random Binary Sequences (PRBS) controller prototype to use as a System Identification Tool. The development of the controller was designed using PIC controllers. Testing was being conducted to ensure the controller is fully operational. Next, the output data from the hot air blower system (HABS) was captured for analysis. Second, the research focused on the modeling of a hot air blower system using System Identification and Estimation approach. By obtaining the mathematical model of a hot air blower system, tuning can be made possible. The output data was being run on MATLAB to compare between several of model structures. Model structures selected for this research are Auto-Regressive with eXogeneous inputs (ARX), Auto-Regressive Moving-Average with eXogeneous inputs (ARMAX), Output Error (OE) and Box–Jenkins (BJ). Result shows the eXogeneous inputs (ARX) obtained the highest best fit which best resemble the dynamic system of a hot air blower system (HABS) and was selected to be implemented in the controllers. Third area of focus is the simulation design of controllers; controllers which were selected for this research were PID controllers, Self-tuning controllers and Fuzzy controllers. The result obtained are shown in the Result and Analysis chapter, all controllers obtained zero overshoot percentage and have a shorter rise time then the current hot air blower system. Results showed the different in rise time, peak time, delay time and percentage overshoot varies depending on the controller. So, depending on the purpose in the industrial application, engineers can pick any controller to meet their desire task.
format	Thesis
qualification_level	Master's degree
author	Wan Salihin Wong, Khairul Nizar Syazwan
author_facet	Wan Salihin Wong, Khairul Nizar Syazwan
author_sort	Wan Salihin Wong, Khairul Nizar Syazwan
title	Modeling and controller design of a hot air blower system
title_short	Modeling and controller design of a hot air blower system
title_full	Modeling and controller design of a hot air blower system
title_fullStr	Modeling and controller design of a hot air blower system
title_full_unstemmed	Modeling and controller design of a hot air blower system
title_sort	modeling and controller design of a hot air blower system
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	http://eprints.utm.my/id/eprint/48824/25/KhairulNizarSyazwanMFKE2014.pdf
_version_	1747817480612478976

Modeling and controller design of a hot air blower system

Similar Items