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Nonlinear model predictive control-based guidance law for path following of unmanned surface vehicles

Autores

BEJARANO PELLICER, GUILLERMO, MANZANO CRESPO, JOSÉ MARÍA, SALVADOR ORTIZ, JOSÉ RAMÓN, Limon, Daniel

Publicación externa

No

Medio

Ocean Eng.

Alcance

Article

Naturaleza

Científica

Cuartil JCR

Cuartil SJR

Impacto JCR

5

Impacto SJR

1.326

Fecha de publicacion

15/08/2022

ISI

000827460200002

Scopus Id

2-s2.0-85133489927

Abstract

This work proposes a nonlinear model predictive control-based guidance strategy for unmanned surface vehicles, focused on path following. The application of this strategy, in addition to overcome drawbacks of previous line-of-sight-based guidance laws, intends to enable the application of predictive strategies also to the low-level control, responsible for tracking the references provided by the guidance strategy. The stability and robustness of the proposed strategy are theoretically discussed. Furthermore, given the non-negligible computational cost of such nonlinear predictive guidance strategy, a practical nonlinear model predictive control strategy is also applied in order to reduce the computational cost to a great extent. The effectiveness and advantages of both proposed strategies over other nonlinear guidance laws are illustrated through a complete set of simulations.

Palabras clave

Unmannedsurfacevehicles; Pathfollowingcontrol; Nonlinearsystems; Modelpredictivecontrol; Robuststability