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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-03-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023010927 |
| _version_ | 1797851896817385472 |
|---|---|
| author | Vahid Tavakol Aghaei Amir SeyyedAbbasi Jawad Rasheed Adnan M. Abu-Mahfouz |
| author_facet | Vahid Tavakol Aghaei Amir SeyyedAbbasi Jawad Rasheed Adnan M. Abu-Mahfouz |
| author_sort | Vahid Tavakol Aghaei |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-09T19:24:09Z |
| format | Article |
| id | doaj.art-1d74f385d22d41ae9029988e0038d95e |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-09T19:24:09Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-1d74f385d22d41ae9029988e0038d95e2023-04-05T08:18:33ZengElsevierHeliyon2405-84402023-03-0193e13885Sand cat swarm optimization-based feedback controller design for nonlinear systemsVahid Tavakol Aghaei0Amir SeyyedAbbasi1Jawad Rasheed2Adnan M. Abu-Mahfouz3Istinye University, Faculty of Engineering and Natural Sciences, Electrical and Electronics Engineering, Istanbul, TurkiyeIstinye University, Faculty of Engineering and Natural Sciences, Software Engineering, Istanbul, Turkiye; Corresponding author.Department of Software Engineering, Istanbul Nişantaşı University, 34398 Istanbul, TurkiyeCouncil for Scientific and Industrial Research (CSIR), Pretoria 0184, South Africa; Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg 2006, South AfricaThe 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.http://www.sciencedirect.com/science/article/pii/S2405844023010927State feedback controlNonlinear systemsTrajectory controlMetaheuristic algorithmsSand cat swarm optimization (SCSO) |
| spellingShingle | Vahid Tavakol Aghaei Amir SeyyedAbbasi Jawad Rasheed Adnan M. Abu-Mahfouz Sand cat swarm optimization-based feedback controller design for nonlinear systems Heliyon State feedback control Nonlinear systems Trajectory control Metaheuristic algorithms Sand cat swarm optimization (SCSO) |
| 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 | State feedback control Nonlinear systems Trajectory control Metaheuristic algorithms Sand cat swarm optimization (SCSO) |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023010927 |
| work_keys_str_mv | AT vahidtavakolaghaei sandcatswarmoptimizationbasedfeedbackcontrollerdesignfornonlinearsystems AT amirseyyedabbasi sandcatswarmoptimizationbasedfeedbackcontrollerdesignfornonlinearsystems AT jawadrasheed sandcatswarmoptimizationbasedfeedbackcontrollerdesignfornonlinearsystems AT adnanmabumahfouz sandcatswarmoptimizationbasedfeedbackcontrollerdesignfornonlinearsystems |