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  4. Input-Constrained Path Following for Autonomous Marine Vehicles with a Global Region of Attraction
 
conference paper

Input-Constrained Path Following for Autonomous Marine Vehicles with a Global Region of Attraction

Hung, Nguyen T.
•
Rego, F.  
•
Crasta, N.
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January 1, 2018
Ifac Papersonline
11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS)

This paper presents a solution to the problem of path following control for autonomous marine vehicles (AMVs) subject to input constraints and constant ocean current disturbances. We propose two nonlinear control strategies: the first is obtained by using a Lyapunov-based design method, while the second is developed by adopting a Model Predictive Control (MPC) framework. We show that, with the proposed control strategies, the path following error is globally asymptotically stable (GAS). Simulations with a kinematic model of the vehicle support the theoretical results. Simulations with a realistic model of the Medusa class of AMVs show the robustness of the proposed control strategies. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

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Type
conference paper
DOI
10.1016/j.ifacol.2018.09.499
Web of Science ID

WOS:000447025400059

Author(s)
Hung, Nguyen T.
Rego, F.  
Crasta, N.
Pascoal, A. M.
Date Issued

2018-01-01

Publisher

ELSEVIER SCIENCE BV

Publisher place

Amsterdam

Published in
Ifac Papersonline
Volume

51

Issue

29

Start page

348

End page

353

Subjects

amvs

•

path following

•

mpc

•

input constraint

•

model-predictive control

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA3  
Event nameEvent placeEvent date
11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS)

Opatija, CROATIA

Sep 10-12, 2018

Available on Infoscience
December 13, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/152271
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