Linear-based gain-determining method for adaptive backstepping controller.

Adaptive control Backstepping Gain-determining Nonlinear control

Journal

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

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 21 05 2021
revised: 20 08 2021
accepted: 21 08 2021
pubmed: 8 9 2021
medline: 8 9 2021
entrez: 7 9 2021
Statut: ppublish

Résumé

This paper presents a linear-based gain-determining method for nonlinear adaptive backstepping controllers. Usually, the gains for nonlinear controllers are tuned by the trial and error method. This method becomes more difficult as the number of gains increases. A user-friendly method is proposed in this work to deal with the problem. Firstly, a linear auxiliary system is formed by separating the linear parts from the nonlinear system. Then, linear state-space techniques are used to determine the gains for state-feedback by the linear auxiliary system. After that, by converting the state-feedback gains to backstepping gains, the gains of the nonlinear backstepping controller can be determined. The proficiency of the gain-determining method is proved by simulations with two linear techniques.

Identifiants

pubmed: 34489095
pii: S0019-0578(21)00457-2
doi: 10.1016/j.isatra.2021.08.029
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

342-349

Informations de copyright

Copyright © 2021 ISA. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Zhengqi Wang (Z)

Department of Electrical and Computer Engineering, Lakehead University, 955 Oliver Rd, Thunder Bay, Ontario, Canada, P7B 5E1. Electronic address: zwang43@lakeheadu.ca.

Xiaoping Liu (X)

Department of Electrical and Computer Engineering, Lakehead University, 955 Oliver Rd, Thunder Bay, Ontario, Canada, P7B 5E1. Electronic address: xliu2@lakeheadu.ca.

Wilson Wang (W)

Department of Mechanical Engineering, Lakehead University, 955 Oliver Rd, Thunder, Ontario, Canada, P7B 5E1. Electronic address: wwang3@lakeheadu.ca.

Classifications MeSH