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Elitism-crossover barnacle mating optimization and its application to PID controller design for a buck converter

This paper presents an elitism-crossover barnacle mating optimization (ECBMO). It is an improvement of barnacle mating optimization (BMO). The original BMO suffers from local optima problem leading to a low accurate solution. A new method of offspring generation is adopted into the original BMO stru...

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Main Authors: Ahmad Nor Kasruddin, Nasir, Mohd Redzuan, Ahmad, Muhammad Almaa Anwari, Roslan
Format: Article
Language:English
Published: IAES 2024
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/40809/1/Elitism-crossover%20barnacle%20mating%20optimization%20and%20its%20application.pdf
http://umpir.ump.edu.my/id/eprint/40809/
https://doi.org/10.11591/eei.v13i2.5481
https://doi.org/10.11591/eei.v13i2.5481
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spelling my.ump.umpir.408092024-04-01T03:14:15Z http://umpir.ump.edu.my/id/eprint/40809/ Elitism-crossover barnacle mating optimization and its application to PID controller design for a buck converter Ahmad Nor Kasruddin, Nasir Mohd Redzuan, Ahmad Muhammad Almaa Anwari, Roslan TK Electrical engineering. Electronics Nuclear engineering This paper presents an elitism-crossover barnacle mating optimization (ECBMO). It is an improvement of barnacle mating optimization (BMO). The original BMO suffers from local optima problem leading to a low accurate solution. A new method of offspring generation is adopted into the original BMO structure. Some features of the best-so-far solution are incorporated into the generated offspring. The accuracy performance of the proposed algorithm is tested on several IEEE functions. A statistical analysis is conducted to compare its performance over the original BMO. It is also applied to optimize proportional integral derivative (PID) parameters for controlling output voltage of a buck converter. Result of benchmark functions test shows the proposed algorithm has attained higher accuracy for all functions compared to BMO algorithm. Application on the real problem shows both algorithms control the converter voltage satisfactorily. However, the ECBMO has achieved more optimal PID parameters and leading to a better output voltage response. IAES 2024-04 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/40809/1/Elitism-crossover%20barnacle%20mating%20optimization%20and%20its%20application.pdf Ahmad Nor Kasruddin, Nasir and Mohd Redzuan, Ahmad and Muhammad Almaa Anwari, Roslan (2024) Elitism-crossover barnacle mating optimization and its application to PID controller design for a buck converter. Bulletin of Electrical Engineering and Informatics, 13 (2). pp. 845-852. ISSN 2302-9285. (Published) https://doi.org/10.11591/eei.v13i2.5481 https://doi.org/10.11591/eei.v13i2.5481
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 TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ahmad Nor Kasruddin, Nasir
Mohd Redzuan, Ahmad
Muhammad Almaa Anwari, Roslan
Elitism-crossover barnacle mating optimization and its application to PID controller design for a buck converter
description This paper presents an elitism-crossover barnacle mating optimization (ECBMO). It is an improvement of barnacle mating optimization (BMO). The original BMO suffers from local optima problem leading to a low accurate solution. A new method of offspring generation is adopted into the original BMO structure. Some features of the best-so-far solution are incorporated into the generated offspring. The accuracy performance of the proposed algorithm is tested on several IEEE functions. A statistical analysis is conducted to compare its performance over the original BMO. It is also applied to optimize proportional integral derivative (PID) parameters for controlling output voltage of a buck converter. Result of benchmark functions test shows the proposed algorithm has attained higher accuracy for all functions compared to BMO algorithm. Application on the real problem shows both algorithms control the converter voltage satisfactorily. However, the ECBMO has achieved more optimal PID parameters and leading to a better output voltage response.
format Article
author Ahmad Nor Kasruddin, Nasir
Mohd Redzuan, Ahmad
Muhammad Almaa Anwari, Roslan
author_facet Ahmad Nor Kasruddin, Nasir
Mohd Redzuan, Ahmad
Muhammad Almaa Anwari, Roslan
author_sort Ahmad Nor Kasruddin, Nasir
title Elitism-crossover barnacle mating optimization and its application to PID controller design for a buck converter
title_short Elitism-crossover barnacle mating optimization and its application to PID controller design for a buck converter
title_full Elitism-crossover barnacle mating optimization and its application to PID controller design for a buck converter
title_fullStr Elitism-crossover barnacle mating optimization and its application to PID controller design for a buck converter
title_full_unstemmed Elitism-crossover barnacle mating optimization and its application to PID controller design for a buck converter
title_sort elitism-crossover barnacle mating optimization and its application to pid controller design for a buck converter
publisher IAES
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/40809/1/Elitism-crossover%20barnacle%20mating%20optimization%20and%20its%20application.pdf
http://umpir.ump.edu.my/id/eprint/40809/
https://doi.org/10.11591/eei.v13i2.5481
https://doi.org/10.11591/eei.v13i2.5481
_version_ 1822924252821585920
score 13.232414

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