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:
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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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
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