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Effective PID controller design using a novel hybrid algorithm for high order systems

This paper discusses the merging of two optimization algorithms, atom search optimization and particle swarm optimization, to create a hybrid algorithm called hybrid atom search particle swarm optimization (h-ASPSO). Atom search optimization is an algorithm inspired by the movement of atoms in natur...

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Detalles Bibliográficos
Autores principales: Izci, Davut, Ekinci, Serdar, Hussien, Abdelazim G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218725/
https://www.ncbi.nlm.nih.gov/pubmed/37235627
http://dx.doi.org/10.1371/journal.pone.0286060
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author Izci, Davut
Ekinci, Serdar
Hussien, Abdelazim G.
author_facet Izci, Davut
Ekinci, Serdar
Hussien, Abdelazim G.
author_sort Izci, Davut
collection PubMed
description This paper discusses the merging of two optimization algorithms, atom search optimization and particle swarm optimization, to create a hybrid algorithm called hybrid atom search particle swarm optimization (h-ASPSO). Atom search optimization is an algorithm inspired by the movement of atoms in nature, which employs interaction forces and neighbor interaction to guide each atom in the population. On the other hand, particle swarm optimization is a swarm intelligence algorithm that uses a population of particles to search for the optimal solution through a social learning process. The proposed algorithm aims to reach exploration-exploitation balance to improve search efficiency. The efficacy of h-ASPSO has been demonstrated in improving the time-domain performance of two high-order real-world engineering problems: the design of a proportional-integral-derivative controller for an automatic voltage regulator and a doubly fed induction generator-based wind turbine systems. The results show that h-ASPSO outperformed the original atom search optimization in terms of convergence speed and quality of solution and can provide more promising results for different high-order engineering systems without significantly increasing the computational cost. The promise of the proposed method is further demonstrated using other available competitive methods that are utilized for the automatic voltage regulator and a doubly fed induction generator-based wind turbine systems.
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spelling pubmed-102187252023-05-27 Effective PID controller design using a novel hybrid algorithm for high order systems Izci, Davut Ekinci, Serdar Hussien, Abdelazim G. PLoS One Research Article This paper discusses the merging of two optimization algorithms, atom search optimization and particle swarm optimization, to create a hybrid algorithm called hybrid atom search particle swarm optimization (h-ASPSO). Atom search optimization is an algorithm inspired by the movement of atoms in nature, which employs interaction forces and neighbor interaction to guide each atom in the population. On the other hand, particle swarm optimization is a swarm intelligence algorithm that uses a population of particles to search for the optimal solution through a social learning process. The proposed algorithm aims to reach exploration-exploitation balance to improve search efficiency. The efficacy of h-ASPSO has been demonstrated in improving the time-domain performance of two high-order real-world engineering problems: the design of a proportional-integral-derivative controller for an automatic voltage regulator and a doubly fed induction generator-based wind turbine systems. The results show that h-ASPSO outperformed the original atom search optimization in terms of convergence speed and quality of solution and can provide more promising results for different high-order engineering systems without significantly increasing the computational cost. The promise of the proposed method is further demonstrated using other available competitive methods that are utilized for the automatic voltage regulator and a doubly fed induction generator-based wind turbine systems. Public Library of Science 2023-05-26 /pmc/articles/PMC10218725/ /pubmed/37235627 http://dx.doi.org/10.1371/journal.pone.0286060 Text en © 2023 Izci et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Izci, Davut
Ekinci, Serdar
Hussien, Abdelazim G.
Effective PID controller design using a novel hybrid algorithm for high order systems
title Effective PID controller design using a novel hybrid algorithm for high order systems
title_full Effective PID controller design using a novel hybrid algorithm for high order systems
title_fullStr Effective PID controller design using a novel hybrid algorithm for high order systems
title_full_unstemmed Effective PID controller design using a novel hybrid algorithm for high order systems
title_short Effective PID controller design using a novel hybrid algorithm for high order systems
title_sort effective pid controller design using a novel hybrid algorithm for high order systems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218725/
https://www.ncbi.nlm.nih.gov/pubmed/37235627
http://dx.doi.org/10.1371/journal.pone.0286060
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