Stabilization and Tracking of a Quadrotor Using Modified Sigmoid Sliding Mode Control.

double-loop nonlinear sliding surface quadrotor sliding mode control tracking control

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
10 May 2022
Historique:
received: 16 03 2022
revised: 29 04 2022
accepted: 09 05 2022
entrez: 28 5 2022
pubmed: 29 5 2022
medline: 29 5 2022
Statut: epublish

Résumé

A modified sigmoid sliding mode control (MS-SMC) approach is proposed for stabilizing and tracking a quadrotor system with a nonlinear sliding surface, where the dynamics model is underactuated, highly coupled, and nonlinear. The constructed nonlinear sliding surface is based on the traditional sliding mode surface with a modified sigmoid function, allowing the initial value to quickly reach equilibrium. A new type of nonlinear SMC is applied for performance improvement of the quadrotor using the proposed modified sigmoid sliding surface. To control the quadrotor effectively, a double-loop control method is used to design the control rate, in which the position subsystem is the outer loop, and the attitude subsystem is the inner loop.With the Lyapunov function, the stability of the overall closed-loop system is ensured by stabilizing each subsystem step by step. Moreover, from a practical point of view, the system performance under the model uncertainties and external disturbances are also considered. The simulation results show that the proposed MS-SMC performs better than the conventional sliding mode control (CSMC) and the back-stepping sliding mode control (BS-SMC) in terms of stabilization and tracking against external disturbances.

Identifiants

pubmed: 35632026
pii: s22103618
doi: 10.3390/s22103618
pmc: PMC9147314
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Research Foundation of Korea
ID : NRF-2019R1A2C1002343
Organisme : National Research Foundation of Korea
ID : NRF-2020R1I1A1A01061632

Références

ISA Trans. 2014 May;53(3):725-31
pubmed: 24534327

Auteurs

Mingyuan Hu (M)

Department of Smart Fab. Technology, Sungkyunkwan University, Suwon 16419, Korea.

Kyunghyun Lee (K)

Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea.

Hyeongki Ahn (H)

Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea.

Ahyeong Choi (A)

Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea.

Hyunchang Kim (H)

Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea.

Kwanho You (K)

Department of Smart Fab. Technology, Sungkyunkwan University, Suwon 16419, Korea.
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea.

Classifications MeSH