MANZANO CRESPO, JOSÉ MARÍA, SALVADOR ORTIZ, JOSÉ RAMÓN, BEJARANO PELLICER, GUILLERMO, Limon D.
No
Proc IEEE Conf Decis Control
Conference Paper
Científica
01/01/2021
000781990305004
2-s2.0-85126071719
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.
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