Cargando…
Sand cat swarm optimization-based feedback controller design for nonlinear systems
The control of the open loop unstable systems with nonlinear structure is challenging work. In this paper, for the first time, we present a sand cat swarm optimization (SCSO) algorithm-based state feedback controller design for open-loop unstable systems. The SCSO algorithm is a newly proposed metah...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989652/ https://www.ncbi.nlm.nih.gov/pubmed/36895404 http://dx.doi.org/10.1016/j.heliyon.2023.e13885 |
_version_ | 1784901806154842112 |
---|---|
author | Tavakol Aghaei, Vahid SeyyedAbbasi, Amir Rasheed, Jawad Abu-Mahfouz, Adnan M. |
author_facet | Tavakol Aghaei, Vahid SeyyedAbbasi, Amir Rasheed, Jawad Abu-Mahfouz, Adnan M. |
author_sort | Tavakol Aghaei, Vahid |
collection | PubMed |
description | The control of the open loop unstable systems with nonlinear structure is challenging work. In this paper, for the first time, we present a sand cat swarm optimization (SCSO) algorithm-based state feedback controller design for open-loop unstable systems. The SCSO algorithm is a newly proposed metaheuristic algorithm with an easy-to-implement structure that can efficiently find the optimal solution for optimization problems. The proposed SCSO-based state feedback controller can successfully optimize the control parameters with efficient convergence curve speed. In order to show the performance of the proposed method, three different nonlinear control systems such as an Inverted pendulum, a Furuta pendulum, and an Acrobat robot arm are considered. The control and optimization performances of the proposed SCSO algorithm are compared with well-known metaheuristic algorithms. The simulation results show that the proposed control method can either outperform the compared metaheuristic-based algorithms or have competitive results. |
format | Online Article Text |
id | pubmed-9989652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99896522023-03-08 Sand cat swarm optimization-based feedback controller design for nonlinear systems Tavakol Aghaei, Vahid SeyyedAbbasi, Amir Rasheed, Jawad Abu-Mahfouz, Adnan M. Heliyon Research Article The control of the open loop unstable systems with nonlinear structure is challenging work. In this paper, for the first time, we present a sand cat swarm optimization (SCSO) algorithm-based state feedback controller design for open-loop unstable systems. The SCSO algorithm is a newly proposed metaheuristic algorithm with an easy-to-implement structure that can efficiently find the optimal solution for optimization problems. The proposed SCSO-based state feedback controller can successfully optimize the control parameters with efficient convergence curve speed. In order to show the performance of the proposed method, three different nonlinear control systems such as an Inverted pendulum, a Furuta pendulum, and an Acrobat robot arm are considered. The control and optimization performances of the proposed SCSO algorithm are compared with well-known metaheuristic algorithms. The simulation results show that the proposed control method can either outperform the compared metaheuristic-based algorithms or have competitive results. Elsevier 2023-02-24 /pmc/articles/PMC9989652/ /pubmed/36895404 http://dx.doi.org/10.1016/j.heliyon.2023.e13885 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Tavakol Aghaei, Vahid SeyyedAbbasi, Amir Rasheed, Jawad Abu-Mahfouz, Adnan M. Sand cat swarm optimization-based feedback controller design for nonlinear systems |
title | Sand cat swarm optimization-based feedback controller design for nonlinear systems |
title_full | Sand cat swarm optimization-based feedback controller design for nonlinear systems |
title_fullStr | Sand cat swarm optimization-based feedback controller design for nonlinear systems |
title_full_unstemmed | Sand cat swarm optimization-based feedback controller design for nonlinear systems |
title_short | Sand cat swarm optimization-based feedback controller design for nonlinear systems |
title_sort | sand cat swarm optimization-based feedback controller design for nonlinear systems |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989652/ https://www.ncbi.nlm.nih.gov/pubmed/36895404 http://dx.doi.org/10.1016/j.heliyon.2023.e13885 |
work_keys_str_mv | AT tavakolaghaeivahid sandcatswarmoptimizationbasedfeedbackcontrollerdesignfornonlinearsystems AT seyyedabbasiamir sandcatswarmoptimizationbasedfeedbackcontrollerdesignfornonlinearsystems AT rasheedjawad sandcatswarmoptimizationbasedfeedbackcontrollerdesignfornonlinearsystems AT abumahfouzadnanm sandcatswarmoptimizationbasedfeedbackcontrollerdesignfornonlinearsystems |