DC Motor Control using Ant Colony Optimization
PID controller is a control loop feedback mechan'1sm widely used in industrial control systems. The PID controller calculation involves three separate parameters, proportional, integral and derivative values. Tuning of PID controller is done in order to achieve the desired performance for th...
Saved in:
Main Author: | |
---|---|
Format: | Final Year Project |
Language: | English |
Published: |
Universiti Teknologi PETRONAS
2011
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/10208/1/2011%20-%20DC%20Motor%20Control%20using%20Ant%20Colony%20Optimization.pdf http://utpedia.utp.edu.my/10208/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-utp-utpedia.10208 |
---|---|
record_format |
eprints |
spelling |
my-utp-utpedia.102082017-01-25T09:41:23Z http://utpedia.utp.edu.my/10208/ DC Motor Control using Ant Colony Optimization Amr Mansour, Sara TK Electrical engineering. Electronics Nuclear engineering PID controller is a control loop feedback mechan'1sm widely used in industrial control systems. The PID controller calculation involves three separate parameters, proportional, integral and derivative values. Tuning of PID controller is done in order to achieve the desired performance for the motor. Practically, it is difficult to simultaneously achieve all the desirable qualities for the motor. Generally, There are several conventional and numeric controller types intended for controlling the DC motor as PID Controller, Fuzzy Logic Controller; PID-Particle Swarm Optimization, Ant colony optimization . In this project, micro DC motor manufactured by FAULHABER that's used for the application of a prosthetic leg is to be controlled by the PID based Ant colony optimization (ACO) controller. The first appearance of an ACO system was in a Ph.D. thesis in 1992 by Marco Dorigo at Politecnico di Milano. It was called Ant System (AS). Since 1995 various other extended versions of AS have been developed, induding Ant Colony System (ACS) and MAX-MIN Ant System (MMAS). In 1999 Dorigo proposed the Ant Colony Optimization (ACO) meta-heuristic that became the most successful and recognized algorithm based on ant behaviour [1]. A controlled prosthetic leg is chosen to be the application for this project. It's manufactured by the German company FAULHABER to help the disabled who lost a limb perform their daily activities normally. The motor used in this prosthetic leg is also manufactured by FAULHABER and it's a micro-motor to be light and reliable. Universiti Teknologi PETRONAS 2011-12 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/10208/1/2011%20-%20DC%20Motor%20Control%20using%20Ant%20Colony%20Optimization.pdf Amr Mansour, Sara (2011) DC Motor Control using Ant Colony Optimization. Universiti Teknologi PETRONAS. (Unpublished) |
institution |
Universiti Teknologi Petronas |
building |
UTP Resource Centre |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Petronas |
content_source |
UTP Electronic and Digitized Intellectual Asset |
url_provider |
http://utpedia.utp.edu.my/ |
language |
English |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Amr Mansour, Sara DC Motor Control using Ant Colony Optimization |
description |
PID controller is a control loop feedback mechan'1sm widely used in industrial control
systems. The PID controller calculation involves three separate parameters,
proportional, integral and derivative values. Tuning of PID controller is done in order
to achieve the desired performance for the motor. Practically, it is difficult to
simultaneously achieve all the desirable qualities for the motor.
Generally, There are several conventional and numeric controller types intended for
controlling the DC motor as PID Controller, Fuzzy Logic Controller; PID-Particle
Swarm Optimization, Ant colony optimization . In this project, micro DC motor
manufactured by FAULHABER that's used for the application of a prosthetic leg is to
be controlled by the PID based Ant colony optimization (ACO) controller.
The first appearance of an ACO system was in a Ph.D. thesis in 1992 by Marco
Dorigo at Politecnico di Milano. It was called Ant System (AS). Since 1995 various
other extended versions of AS have been developed, induding Ant Colony System
(ACS) and MAX-MIN Ant System (MMAS). In 1999 Dorigo proposed the Ant Colony
Optimization (ACO) meta-heuristic that became the most successful and recognized
algorithm based on ant behaviour [1].
A controlled prosthetic leg is chosen to be the application for this project. It's
manufactured by the German company FAULHABER to help the disabled who lost a
limb perform their daily activities normally. The motor used in this prosthetic leg is
also manufactured by FAULHABER and it's a micro-motor to be light and reliable. |
format |
Final Year Project |
author |
Amr Mansour, Sara |
author_facet |
Amr Mansour, Sara |
author_sort |
Amr Mansour, Sara |
title |
DC Motor Control using Ant Colony Optimization |
title_short |
DC Motor Control using Ant Colony Optimization |
title_full |
DC Motor Control using Ant Colony Optimization |
title_fullStr |
DC Motor Control using Ant Colony Optimization |
title_full_unstemmed |
DC Motor Control using Ant Colony Optimization |
title_sort |
dc motor control using ant colony optimization |
publisher |
Universiti Teknologi PETRONAS |
publishDate |
2011 |
url |
http://utpedia.utp.edu.my/10208/1/2011%20-%20DC%20Motor%20Control%20using%20Ant%20Colony%20Optimization.pdf http://utpedia.utp.edu.my/10208/ |
_version_ |
1739831774774558720 |
score |
13.19449 |