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Nonlinear model predictive control applied to robust guidance of autonomous surface vehicles

Autores

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

Publicación externa

No

Medio

Proc IEEE Conf Decis Control

Alcance

Conference Paper

Naturaleza

Científica

Cuartil JCR

Cuartil SJR

Fecha de publicacion

01/01/2021

ISI

000781990305004

Scopus Id

2-s2.0-85126071719

Abstract

This paper proposes a nonlinear model predictive control-based guidance strategy for autonomous surface vehicles, focused on the path following approach to motion control. The application of this strategy, in addition to overcome the 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 high-level strategy. The robust and stable features of the proposed strategy are discussed, while the effectiveness and the advantages over other nonlinear guidance laws are illustrated through a complete set of simulations. © 2021 IEEE.

Palabras clave

Air navigation; Autonomous vehicles; Model predictive control; Nonlinear systems; Predictive control systems; Autonomous surface vehicles; Complete sets; Guidance laws; Guidance strategy; Line of Sight; Lines-of-sight; Nonlinear guidance laws; Nonlinear model predictive control; Path following; Unmanned surface vehicles