Voltage tracking of a DC-DC buck converter using neural network control

This master report presents a voltage tracking of a neural network for dc-dc buck converter. The mathematical model of Buck converter and artificial neural network algorithm is derived. The dc-dc Buck converter is designed to tracking the output voltage with three variation. This master report c...

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Main Author:	Mohamad Narsardin, Mohamad Adhar
Format:	Thesis
Language:	English English English
Published:	2012
Subjects:	TK Electrical engineering Electronics Nuclear engineering TK7800-8360 Electronics
Online Access:	http://eprints.uthm.edu.my/2274/1/24p%20MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN.pdf http://eprints.uthm.edu.my/2274/2/MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2274/3/MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN%20WATERMARK.pdf
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id	my-uthm-ep.2274
record_format	uketd_dc
spelling	my-uthm-ep.22742021-10-31T05:06:55Z Voltage tracking of a DC-DC buck converter using neural network control 2012-06 Mohamad Narsardin, Mohamad Adhar TK Electrical engineering. Electronics Nuclear engineering TK7800-8360 Electronics This master report presents a voltage tracking of a neural network for dc-dc buck converter. The mathematical model of Buck converter and artificial neural network algorithm is derived. The dc-dc Buck converter is designed to tracking the output voltage with three variation. This master report consists open loop control, closed loop control and neural network control. The Buck converter has some advantages compare to the others type of dc converter. However the nonlinearity of the dc-dc Buck converter characteristics, cause it is difficult to handle by using conventional method such as open loop control system and close loop control system like proportional-integral-differential (PID) controller. In order to overcome this main problem, a neural network controller with online learning technique based on back propagation algorithm is developed. The effectiveness of the proposed method is verified by develop simulation model in MATLAB-Simulink program. The simulation results show that the proposed neural network controller (NNC) produce significant improvement control performance compare to the PID controller for both condition for voltage tracking output for dc-dc Buck converter. 2012-06 Thesis http://eprints.uthm.edu.my/2274/ http://eprints.uthm.edu.my/2274/1/24p%20MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN.pdf text en public http://eprints.uthm.edu.my/2274/2/MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/2274/3/MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TK Electrical engineering Electronics Nuclear engineering TK7800-8360 Electronics
spellingShingle	TK Electrical engineering Electronics Nuclear engineering TK7800-8360 Electronics Mohamad Narsardin, Mohamad Adhar Voltage tracking of a DC-DC buck converter using neural network control
description	This master report presents a voltage tracking of a neural network for dc-dc buck converter. The mathematical model of Buck converter and artificial neural network algorithm is derived. The dc-dc Buck converter is designed to tracking the output voltage with three variation. This master report consists open loop control, closed loop control and neural network control. The Buck converter has some advantages compare to the others type of dc converter. However the nonlinearity of the dc-dc Buck converter characteristics, cause it is difficult to handle by using conventional method such as open loop control system and close loop control system like proportional-integral-differential (PID) controller. In order to overcome this main problem, a neural network controller with online learning technique based on back propagation algorithm is developed. The effectiveness of the proposed method is verified by develop simulation model in MATLAB-Simulink program. The simulation results show that the proposed neural network controller (NNC) produce significant improvement control performance compare to the PID controller for both condition for voltage tracking output for dc-dc Buck converter.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Mohamad Narsardin, Mohamad Adhar
author_facet	Mohamad Narsardin, Mohamad Adhar
author_sort	Mohamad Narsardin, Mohamad Adhar
title	Voltage tracking of a DC-DC buck converter using neural network control
title_short	Voltage tracking of a DC-DC buck converter using neural network control
title_full	Voltage tracking of a DC-DC buck converter using neural network control
title_fullStr	Voltage tracking of a DC-DC buck converter using neural network control
title_full_unstemmed	Voltage tracking of a DC-DC buck converter using neural network control
title_sort	voltage tracking of a dc-dc buck converter using neural network control
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2012
url	http://eprints.uthm.edu.my/2274/1/24p%20MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN.pdf http://eprints.uthm.edu.my/2274/2/MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2274/3/MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN%20WATERMARK.pdf
_version_	1747830933860384768

Voltage tracking of a DC-DC buck converter using neural network control

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