Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, dissertation, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

DC Motor Control using Ant Colony Optimization

Amr Mansour, Sara (2011) DC Motor Control using Ant Colony Optimization. Universiti Teknologi PETRONAS. (Unpublished)

[img] PDF
Download (808Kb)

Abstract

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.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Power Electronics - Power Electronics - Control Devices
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 06 Nov 2013 14:14
Last Modified: 25 Jan 2017 09:41
URI: http://utpedia.utp.edu.my/id/eprint/10208

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...