A comparative study fuzzy logic controller and proportional integral derivative on Buck DC/DC converter / Rizal Isa
The switching power supply market is shows potential quickly in today's modern world. Design engineers are not always supplied with the desired amount of voltage they need in order to make their design work. As a solution, controller is added to the system to achieve a simple digital control ci...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2009
|
Online Access: | https://ir.uitm.edu.my/id/eprint/85137/1/85137.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-uitm-ir.85137 |
---|---|
record_format |
uketd_dc |
spelling |
my-uitm-ir.851372024-02-14T04:44:08Z A comparative study fuzzy logic controller and proportional integral derivative on Buck DC/DC converter / Rizal Isa 2009 Isa, Rizal The switching power supply market is shows potential quickly in today's modern world. Design engineers are not always supplied with the desired amount of voltage they need in order to make their design work. As a solution, controller is added to the system to achieve a simple digital control circuit for regulating the output of the dc-dc converter. This thesis presents a comparative study of Fuzzy Logic Controller and Proportional Integral Derivative Controller on Buck DC/DC Converter. The objective of this thesis is to compare the performance between Fuzzy Logic Controller and Proportional Integral Derivative Controller to improve the performance of DC/DC Converters. The evaluation of the output has been carried out and compared by software simulation using MATLAB. 2009 Thesis https://ir.uitm.edu.my/id/eprint/85137/ https://ir.uitm.edu.my/id/eprint/85137/1/85137.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Nik Ismail, Nik Fasdi |
institution |
Universiti Teknologi MARA |
collection |
UiTM Institutional Repository |
language |
English |
advisor |
Nik Ismail, Nik Fasdi |
description |
The switching power supply market is shows potential quickly in today's modern world. Design engineers are not always supplied with the desired amount of voltage they need in order to make their design work. As a solution, controller is added to the system to achieve a simple digital control circuit for regulating the output of the dc-dc converter. This thesis presents a comparative study of Fuzzy Logic Controller and Proportional Integral Derivative Controller on Buck DC/DC Converter. The objective of this thesis is to compare the performance between Fuzzy Logic Controller and Proportional Integral Derivative Controller to improve the performance of DC/DC Converters. The evaluation of the output has been carried out and compared by software simulation using MATLAB. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Isa, Rizal |
spellingShingle |
Isa, Rizal A comparative study fuzzy logic controller and proportional integral derivative on Buck DC/DC converter / Rizal Isa |
author_facet |
Isa, Rizal |
author_sort |
Isa, Rizal |
title |
A comparative study fuzzy logic controller and proportional integral derivative on Buck DC/DC converter / Rizal Isa |
title_short |
A comparative study fuzzy logic controller and proportional integral derivative on Buck DC/DC converter / Rizal Isa |
title_full |
A comparative study fuzzy logic controller and proportional integral derivative on Buck DC/DC converter / Rizal Isa |
title_fullStr |
A comparative study fuzzy logic controller and proportional integral derivative on Buck DC/DC converter / Rizal Isa |
title_full_unstemmed |
A comparative study fuzzy logic controller and proportional integral derivative on Buck DC/DC converter / Rizal Isa |
title_sort |
comparative study fuzzy logic controller and proportional integral derivative on buck dc/dc converter / rizal isa |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2009 |
url |
https://ir.uitm.edu.my/id/eprint/85137/1/85137.pdf |
_version_ |
1794192072713961472 |