Parameters-Tuning of PID Controller for Automatic Voltage Regulators using the African Buffalo Optimization
In this paper, an attempt is made to apply the African Buffalo Optimization (ABO) to tune the parameters of a PID controller for an effective Automatic Voltage Regulator (AVR). Existing metaheuristic tuning methods have been proven to be quite successful but there were observable areas that need imp...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science
2017
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/17720/1/fskkp-2017-odili-Parameters-tuning%20of%20PID.pdf http://umpir.ump.edu.my/id/eprint/17720/ https://doi.org/10.1371/journal.pone.0175901 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Malaysia Pahang Al-Sultan Abdullah |
Language: | English |
id |
my.ump.umpir.17720 |
---|---|
record_format |
eprints |
spelling |
my.ump.umpir.177202018-07-27T01:59:38Z http://umpir.ump.edu.my/id/eprint/17720/ Parameters-Tuning of PID Controller for Automatic Voltage Regulators using the African Buffalo Optimization Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad QA76 Computer software In this paper, an attempt is made to apply the African Buffalo Optimization (ABO) to tune the parameters of a PID controller for an effective Automatic Voltage Regulator (AVR). Existing metaheuristic tuning methods have been proven to be quite successful but there were observable areas that need improvements especially in terms of the system’s gain overshoot and steady steady state errors. Using the ABO algorithm where each buffalo location in the herd is a candidate solution to the Proportional-Integral-Derivative parameters was very helpful in addressing these two areas of concern. The encouraging results obtained from the simulation of the PID Controller parameters-tuning using the ABO when compared with the performance of Genetic Algorithm PID (GA-PID), Particle-Swarm Optimization PID (PSO-PID), Ant Colony Optimization PID (ACO-PID), PID, Bacteria-Foraging Optimization PID (BFO-PID) etc makes ABO-PID a good addition to solving PID Controller tuning problems using metaheuristics. Public Library of Science 2017 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/17720/1/fskkp-2017-odili-Parameters-tuning%20of%20PID.pdf Odili, Julius Beneoluchi and M. N. M., Kahar and Noraziah, Ahmad (2017) Parameters-Tuning of PID Controller for Automatic Voltage Regulators using the African Buffalo Optimization. PLoS ONE, 12 (4). pp. 1-17. ISSN 1932-6203. (Published) https://doi.org/10.1371/journal.pone.0175901 doi: 10.1371/journal.pone.0175901 |
institution |
Universiti Malaysia Pahang Al-Sultan Abdullah |
building |
UMPSA Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Pahang Al-Sultan Abdullah |
content_source |
UMPSA Institutional Repository |
url_provider |
http://umpir.ump.edu.my/ |
language |
English |
topic |
QA76 Computer software |
spellingShingle |
QA76 Computer software Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad Parameters-Tuning of PID Controller for Automatic Voltage Regulators using the African Buffalo Optimization |
description |
In this paper, an attempt is made to apply the African Buffalo Optimization (ABO) to tune the parameters of a PID controller for an effective Automatic Voltage Regulator (AVR). Existing metaheuristic tuning methods have been proven to be quite successful but there were observable areas that need improvements especially in terms of the system’s gain overshoot and steady steady state errors. Using the ABO algorithm where each buffalo location in the herd is a candidate solution to the Proportional-Integral-Derivative parameters was very helpful in addressing these two areas of concern. The encouraging results obtained from the simulation of the PID Controller parameters-tuning using the ABO when compared with the performance of Genetic Algorithm PID (GA-PID), Particle-Swarm Optimization PID (PSO-PID), Ant Colony Optimization PID (ACO-PID), PID, Bacteria-Foraging Optimization PID (BFO-PID) etc makes ABO-PID a good addition to solving PID Controller tuning problems using metaheuristics. |
format |
Article |
author |
Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad |
author_facet |
Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad |
author_sort |
Odili, Julius Beneoluchi |
title |
Parameters-Tuning of PID Controller for Automatic Voltage Regulators using the African Buffalo Optimization |
title_short |
Parameters-Tuning of PID Controller for Automatic Voltage Regulators using the African Buffalo Optimization |
title_full |
Parameters-Tuning of PID Controller for Automatic Voltage Regulators using the African Buffalo Optimization |
title_fullStr |
Parameters-Tuning of PID Controller for Automatic Voltage Regulators using the African Buffalo Optimization |
title_full_unstemmed |
Parameters-Tuning of PID Controller for Automatic Voltage Regulators using the African Buffalo Optimization |
title_sort |
parameters-tuning of pid controller for automatic voltage regulators using the african buffalo optimization |
publisher |
Public Library of Science |
publishDate |
2017 |
url |
http://umpir.ump.edu.my/id/eprint/17720/1/fskkp-2017-odili-Parameters-tuning%20of%20PID.pdf http://umpir.ump.edu.my/id/eprint/17720/ https://doi.org/10.1371/journal.pone.0175901 |
_version_ |
1822918325079900160 |