Modeling and control of magnetic levitation system

Magnetic levitation technology had received more attention since it helps minimize friction due to physical contact. Example of engineering applications includes magnetic levitated vehicle, high speed bearings, and precision platform. Magnetic levitation system consists of electro-magnetic actuator...

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Main Author:	Abdullah, Nasrul Rahman
Format:	Thesis
Language:	English
Published:	2011
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/32283/5/NasrulRahmanAbdullahMFKE2011.pdf
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id	my-utm-ep.32283
record_format	uketd_dc
spelling	my-utm-ep.322832018-05-27T07:44:10Z Modeling and control of magnetic levitation system 2011-05 Abdullah, Nasrul Rahman TK Electrical engineering. Electronics Nuclear engineering Magnetic levitation technology had received more attention since it helps minimize friction due to physical contact. Example of engineering applications includes magnetic levitated vehicle, high speed bearings, and precision platform. Magnetic levitation system consists of electro-magnetic actuator where its supply current needs to be controlled in achieving equilibrium force in vertical position with a permanent magnet. Too much force inserted will pull the object towards the actuator. Its instability and non-linearity characteristics pose challenges in modeling and control of the system accurately. The objective of this study was to obtain mathematical model of a small scale magnetic levitation system using MATLAB. The system was excited with three MLS of PRBS signal. Parametric approach using ARX structure was used to approximate the model. The best model was accepted based on the best fit criterion and pole-zero analysis through SI toolbox. The result showed that lower order model the best; meanwhile higher order model exhibits noise characteristics. PID and LQR controller was designed for the model through the simulation. The result showed that PID controller provides better output than open-loop control. LQR controller exhibits faster response to the system with undesired transient error. The designed PID and LQR controller can be applied to the magnetic levitation system with further optimization. An implementation to real-time system would validate the result in simulation. Self-tuning or robust controller could be developed in future to increase the reliability of the controller. 2011-05 Thesis http://eprints.utm.my/id/eprint/32283/ http://eprints.utm.my/id/eprint/32283/5/NasrulRahmanAbdullahMFKE2011.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 Abdullah, Nasrul Rahman Modeling and control of magnetic levitation system
description	Magnetic levitation technology had received more attention since it helps minimize friction due to physical contact. Example of engineering applications includes magnetic levitated vehicle, high speed bearings, and precision platform. Magnetic levitation system consists of electro-magnetic actuator where its supply current needs to be controlled in achieving equilibrium force in vertical position with a permanent magnet. Too much force inserted will pull the object towards the actuator. Its instability and non-linearity characteristics pose challenges in modeling and control of the system accurately. The objective of this study was to obtain mathematical model of a small scale magnetic levitation system using MATLAB. The system was excited with three MLS of PRBS signal. Parametric approach using ARX structure was used to approximate the model. The best model was accepted based on the best fit criterion and pole-zero analysis through SI toolbox. The result showed that lower order model the best; meanwhile higher order model exhibits noise characteristics. PID and LQR controller was designed for the model through the simulation. The result showed that PID controller provides better output than open-loop control. LQR controller exhibits faster response to the system with undesired transient error. The designed PID and LQR controller can be applied to the magnetic levitation system with further optimization. An implementation to real-time system would validate the result in simulation. Self-tuning or robust controller could be developed in future to increase the reliability of the controller.
format	Thesis
qualification_level	Master's degree
author	Abdullah, Nasrul Rahman
author_facet	Abdullah, Nasrul Rahman
author_sort	Abdullah, Nasrul Rahman
title	Modeling and control of magnetic levitation system
title_short	Modeling and control of magnetic levitation system
title_full	Modeling and control of magnetic levitation system
title_fullStr	Modeling and control of magnetic levitation system
title_full_unstemmed	Modeling and control of magnetic levitation system
title_sort	modeling and control of magnetic levitation system
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2011
url	http://eprints.utm.my/id/eprint/32283/5/NasrulRahmanAbdullahMFKE2011.pdf
_version_	1747815965485170688

Modeling and control of magnetic levitation system

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