African Buffalo Optimization Algorithm for PID parameters tuning of Automatic Voltage Regulators

African Buffalo Optimization Algorithm for PID parameters tuning of Automatic Voltage Regulators

To obtain stability of electric power generating system, there is the need for an Automatic Voltage Regulator (AVR) component. The effectiveness of the AVR is traceable to the proper tuning of the Proportional, Integral and Derivative (PID) parameters within the AVR. Our innovation is the successfu...

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Bibliographic Details
Main Authors: Odili, Julius Beneoluchi, M. N. M., Kahar, Noraziah, Ahmad
Format: Conference or Workshop Item
Language:English
Published: Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang 2016
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/15974/
http://umpir.ump.edu.my/id/eprint/15974/
http://umpir.ump.edu.my/id/eprint/15974/1/fskkp-2016-051_057.pdf
id ump-15974
recordtype eprints
spelling ump-159742018-07-27T02:00:34Z http://umpir.ump.edu.my/id/eprint/15974/ African Buffalo Optimization Algorithm for PID parameters tuning of Automatic Voltage Regulators Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad QA76 Computer software To obtain stability of electric power generating system, there is the need for an Automatic Voltage Regulator (AVR) component. The effectiveness of the AVR is traceable to the proper tuning of the Proportional, Integral and Derivative (PID) parameters within the AVR. Our innovation is the successful use of the African Buffalo Optimization Algorithm to tune PID parameters for optimum efficiency and effectiveness. Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/15974/1/fskkp-2016-051_057.pdf Odili, Julius Beneoluchi and M. N. M., Kahar and Noraziah, Ahmad (2016) African Buffalo Optimization Algorithm for PID parameters tuning of Automatic Voltage Regulators. In: Proceeding of International Competition and Exhibition on Computing Innovation 2016, 6-8 December 2016 , University Sports Complex, Universiti Malaysia Pahang. pp. 51-57.. ISBN 978-967-2054-04-7 http://icecinno.ump.edu.my/index.php/en/documents/pdf-files/proceeding-2016/132-51-57/file
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Odili, Julius Beneoluchi
M. N. M., Kahar
Noraziah, Ahmad
African Buffalo Optimization Algorithm for PID parameters tuning of Automatic Voltage Regulators
description To obtain stability of electric power generating system, there is the need for an Automatic Voltage Regulator (AVR) component. The effectiveness of the AVR is traceable to the proper tuning of the Proportional, Integral and Derivative (PID) parameters within the AVR. Our innovation is the successful use of the African Buffalo Optimization Algorithm to tune PID parameters for optimum efficiency and effectiveness.
format Conference or Workshop Item
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 African Buffalo Optimization Algorithm for PID parameters tuning of Automatic Voltage Regulators
title_short African Buffalo Optimization Algorithm for PID parameters tuning of Automatic Voltage Regulators
title_full African Buffalo Optimization Algorithm for PID parameters tuning of Automatic Voltage Regulators
title_fullStr African Buffalo Optimization Algorithm for PID parameters tuning of Automatic Voltage Regulators
title_full_unstemmed African Buffalo Optimization Algorithm for PID parameters tuning of Automatic Voltage Regulators
title_sort african buffalo optimization algorithm for pid parameters tuning of automatic voltage regulators
publisher Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/15974/
http://umpir.ump.edu.my/id/eprint/15974/
http://umpir.ump.edu.my/id/eprint/15974/1/fskkp-2016-051_057.pdf
first_indexed 2023-09-18T22:21:14Z
last_indexed 2023-09-18T22:21:14Z
_version_ 1777415670398451712

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