2020
DOI: 10.3390/jmse8040275
|View full text |Cite
|
Sign up to set email alerts
|

Robust Output Path-Following Control of Marine Surface Vessels with Finite-Time LOS Guidance

Abstract: This paper proposes a finite-time output feedback methodology for the path-following task of marine surface vessels. First, a horizontal path-following model is established with unknown sideslip angle, unmeasured system state and system uncertainties. A hierarchical control structure is adopted to deal with the cascade property. For kinematics system design, a finite-time sideslip angle observer is first proposed, and thus the sideslip angle estimation is compensated in a nonlinear line-of-sight (LOS) guidance… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 36 publications
0
1
0
Order By: Relevance
“…The problem of the path-following for USVs is investigated by Wang et al [7] which propose a robust output feedback methodology based on a hierarchical control structure using a finite-time Line Of Sight (LOS) guidance algorithm and an (Extended State Observer) ESO-based output feedback backstepping controller. A global stability analysis is carried out based on Lyapunov theory and numerical simulations show the fast convergence of the proposed guidance law.…”
mentioning
confidence: 99%
“…The problem of the path-following for USVs is investigated by Wang et al [7] which propose a robust output feedback methodology based on a hierarchical control structure using a finite-time Line Of Sight (LOS) guidance algorithm and an (Extended State Observer) ESO-based output feedback backstepping controller. A global stability analysis is carried out based on Lyapunov theory and numerical simulations show the fast convergence of the proposed guidance law.…”
mentioning
confidence: 99%