BEJARANO PELLICER, GUILLERMO, MANZANO CRESPO, JOSÉ MARÍA, SALVADOR ORTIZ, JOSÉ RAMÓN, Limon, Daniel
No
Ocean Eng.
Article
Científica
5
1.326
15/08/2022
000827460200002
2-s2.0-85133489927
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.
Unmannedsurfacevehicles; Pathfollowingcontrol; Nonlinearsystems; Modelpredictivecontrol; Robuststability