Sand cat swarm optimization-based feedback controller design for nonlinear systems
Küçük Resim Yok
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Cell Press
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Anahtar Kelimeler
State Feedback Control, Nonlinear Systems, Trajectory Control, Metaheuristic Algorithms, Sand Cat Swarm Optimization (Scso)
Kaynak
Heliyon
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
Cilt
9
Sayı
3
