Optimal Performance of a Nonlinear Gantry Crane System via Priority-based Fitness Scheme in Binary PSO Algorithm
This paper presents development of an optimal PID and PD controllers for controlling the nonlinear gantry crane system. The proposed Binary Particle Swarm Optimization (BPSO) algorithm that uses Priority-based Fitness Scheme is adopted in obtaining five optimal controller gains. The optimal gains ar...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2013
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/11335/1/2013_Journal_IOP.pdf http://eprints.utem.edu.my/id/eprint/11335/ http://iopscience.iop.org/1757-899X/53/1/012011 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utem.eprints.11335 |
---|---|
record_format |
eprints |
spelling |
my.utem.eprints.113352015-05-28T04:17:04Z http://eprints.utem.edu.my/id/eprint/11335/ Optimal Performance of a Nonlinear Gantry Crane System via Priority-based Fitness Scheme in Binary PSO Algorithm Jaafar, Hazriq Izzuan Mohd Ali, Nursabillilah Mohamed, Zaharuddin Selamat, Nur Asmiza Zainal Abidin, Amar Faiz Jamian, Jasrul Jamani Anuar, Mohamed Kassim TK Electrical engineering. Electronics Nuclear engineering This paper presents development of an optimal PID and PD controllers for controlling the nonlinear gantry crane system. The proposed Binary Particle Swarm Optimization (BPSO) algorithm that uses Priority-based Fitness Scheme is adopted in obtaining five optimal controller gains. The optimal gains are tested on a control structure that combines PID and PD controllers to examine system responses including trolley displacement and payload oscillation. The dynamic model of gantry crane system is derived using Lagrange equation. Simulation is conducted within Matlab environment to verify the performance of system in terms of settling time (Ts), steady state error (SSE) and overshoot (OS). This proposed technique demonstrates that implementation of Priority-based Fitness Scheme in BPSO is effective and able to move the trolley as fast as possible to the various desired position. IOP Publishing 2013-12-31 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/11335/1/2013_Journal_IOP.pdf Jaafar, Hazriq Izzuan and Mohd Ali, Nursabillilah and Mohamed, Zaharuddin and Selamat, Nur Asmiza and Zainal Abidin, Amar Faiz and Jamian, Jasrul Jamani and Anuar, Mohamed Kassim (2013) Optimal Performance of a Nonlinear Gantry Crane System via Priority-based Fitness Scheme in Binary PSO Algorithm. IOP Conf. Series: Materials Science and Engineering, 53. 012011. ISSN 1757-899X http://iopscience.iop.org/1757-899X/53/1/012011 |
institution |
Universiti Teknikal Malaysia Melaka |
building |
UTEM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknikal Malaysia Melaka |
content_source |
UTEM Institutional Repository |
url_provider |
http://eprints.utem.edu.my/ |
language |
English |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Jaafar, Hazriq Izzuan Mohd Ali, Nursabillilah Mohamed, Zaharuddin Selamat, Nur Asmiza Zainal Abidin, Amar Faiz Jamian, Jasrul Jamani Anuar, Mohamed Kassim Optimal Performance of a Nonlinear Gantry Crane System via Priority-based Fitness Scheme in Binary PSO Algorithm |
description |
This paper presents development of an optimal PID and PD controllers for controlling the nonlinear gantry crane system. The proposed Binary Particle Swarm Optimization (BPSO) algorithm that uses Priority-based Fitness Scheme is adopted in obtaining five optimal controller gains. The optimal gains are tested on a control structure that combines PID and PD controllers to examine system responses including trolley displacement and payload oscillation. The dynamic model of gantry crane system is derived using Lagrange equation. Simulation is conducted within Matlab environment to verify the performance of system in terms of settling time (Ts), steady state error (SSE) and overshoot (OS). This proposed technique demonstrates that implementation of Priority-based Fitness Scheme in BPSO is effective and able to move the trolley as fast as possible to the various desired position. |
format |
Article |
author |
Jaafar, Hazriq Izzuan Mohd Ali, Nursabillilah Mohamed, Zaharuddin Selamat, Nur Asmiza Zainal Abidin, Amar Faiz Jamian, Jasrul Jamani Anuar, Mohamed Kassim |
author_facet |
Jaafar, Hazriq Izzuan Mohd Ali, Nursabillilah Mohamed, Zaharuddin Selamat, Nur Asmiza Zainal Abidin, Amar Faiz Jamian, Jasrul Jamani Anuar, Mohamed Kassim |
author_sort |
Jaafar, Hazriq Izzuan |
title |
Optimal Performance of a Nonlinear Gantry Crane System via Priority-based Fitness Scheme in Binary PSO Algorithm |
title_short |
Optimal Performance of a Nonlinear Gantry Crane System via Priority-based Fitness Scheme in Binary PSO Algorithm |
title_full |
Optimal Performance of a Nonlinear Gantry Crane System via Priority-based Fitness Scheme in Binary PSO Algorithm |
title_fullStr |
Optimal Performance of a Nonlinear Gantry Crane System via Priority-based Fitness Scheme in Binary PSO Algorithm |
title_full_unstemmed |
Optimal Performance of a Nonlinear Gantry Crane System via Priority-based Fitness Scheme in Binary PSO Algorithm |
title_sort |
optimal performance of a nonlinear gantry crane system via priority-based fitness scheme in binary pso algorithm |
publisher |
IOP Publishing |
publishDate |
2013 |
url |
http://eprints.utem.edu.my/id/eprint/11335/1/2013_Journal_IOP.pdf http://eprints.utem.edu.my/id/eprint/11335/ http://iopscience.iop.org/1757-899X/53/1/012011 |
_version_ |
1665905459973849088 |
score |
13.244368 |