Variable Structure Disturbance Observer Based Dynamic Surface Control of Electrohydraulic Systems with Parametric Uncertainty

Shuai Li, Ke Zhu, Liang Chen, Yao Yan and Qing Guo
Additional contact information
Shuai Li: School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China
Ke Zhu: School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China
Liang Chen: School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China
Yao Yan: School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China
Qing Guo: School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China

Energies, 2022, vol. 15, issue 5, 1-15

Abstract: This paper focuses on the position tracking control issue of electrohydraulic systems (EHS). The dynamical model of EHS is introduced in the first place, based on which a type of Variable Structure Disturbance Observer (VSDO) is constructed for EHS to estimate the parametric uncertainty the EHS possesses. Then, a backstepping controller is designed under VSDO to realize the high precision position tracking purpose. To avoid the phenomenon of differential explosion, a dynamic surface control method is adopted in this paper, which improved the position tracking control performance of EHS. The proposed theoretical results are verified by numerical simulation and experiment to illustrate the feasibility.

Keywords: variable structure disturbance observers; electrohydraulic systems; dynamic surface control; backstepping iteration; parametric uncertainty (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/5/1671/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/5/1671/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:5:p:1671-:d:756922

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().