UTHM Institutional Repository

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

Mohamad Narsardin, Mohamad Adhar (2012) Voltage tracking of a DC-DC buck converter using neural network control. Masters thesis, Universiti Tun Hussein Onn Malaysia.

[img]
Preview
PDF
MOHAMAD_ADHAR_BIN_MOHAMAD_NARSARDIN_1.pdf

Download (737kB)

Abstract

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.

Item Type: Thesis (Masters)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Depositing User: Normajihan Abd. Rahman
Date Deposited: 08 Nov 2012 06:50
Last Modified: 08 Nov 2012 06:50
URI: http://eprints.uthm.edu.my/id/eprint/2899
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year