Disturbance suppression for quadrotor UAV using sliding-mode-observer-based equivalent-input-disturbance approach.

Disturbance suppression Equivalent input disturbance Globally uniformly ultimately bounded Quadrotor unmanned aerial vehicle Sliding-mode observer

Journal

ISA transactions
ISSN: 1879-2022
Titre abrégé: ISA Trans
Pays: United States
ID NLM: 0374750

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 01 10 2018
revised: 23 12 2018
accepted: 20 02 2019
pubmed: 11 3 2019
medline: 11 3 2019
entrez: 11 3 2019
Statut: ppublish

Résumé

This paper presents a new control scheme for quadrotor unmanned aerial vehicle attitude control and disturbance suppression. A quadrotor dynamic model is divided into two subsystems: fully-actuated and under-actuated. While the PID method is used to control the fully-actuated subsystem, a sliding-mode-observer-based equivalent-input-disturbance approach is used to control the under-actuated subsystem. The system design is simple, and it is globally uniformly ultimately bounded. Simulations and comparisons demonstrate the effectiveness of the method.

Identifiants

pubmed: 30851959
pii: S0019-0578(19)30102-8
doi: 10.1016/j.isatra.2019.02.028
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

286-297

Informations de copyright

Copyright © 2019 ISA. Published by Elsevier Ltd. All rights reserved.

Auteurs

Wenjing Cai (W)

School of Automation, China University of Geosciences, Wuhan 430074, Hubei, China; Hubei Key Laboratory of Advanced Control and Intelligent, Automation for Complex Systems, Wuhan 430074, Hubei, China; School of Engineering, Tokyo University of Technology, Hachioji 192-0982, Tokyo, Japan.

Jinhua She (J)

School of Automation, China University of Geosciences, Wuhan 430074, Hubei, China; Hubei Key Laboratory of Advanced Control and Intelligent, Automation for Complex Systems, Wuhan 430074, Hubei, China; School of Engineering, Tokyo University of Technology, Hachioji 192-0982, Tokyo, Japan.

Min Wu (M)

School of Automation, China University of Geosciences, Wuhan 430074, Hubei, China; Hubei Key Laboratory of Advanced Control and Intelligent, Automation for Complex Systems, Wuhan 430074, Hubei, China. Electronic address: wumin@cug.edu.cn.

Yasuhiro Ohyama (Y)

School of Engineering, Tokyo University of Technology, Hachioji 192-0982, Tokyo, Japan.

Classifications MeSH