Kinodynamic Motion Planning via Funnel Control for Underactuated Unmanned Surface Vehicles

Fuente: arXiv
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Autori principali: Lapandić, Dženan, Verginis, Christos K., Dimarogonas, Dimos V., Wahlberg, Bo
Natura: Preprint
Pubblicazione: 2023
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author Lapandić, Dženan
Verginis, Christos K.
Dimarogonas, Dimos V.
Wahlberg, Bo
author_facet Lapandić, Dženan
Verginis, Christos K.
Dimarogonas, Dimos V.
Wahlberg, Bo
contents We develop an algorithm to control an underactuated unmanned surface vehicle (USV) using kinodynamic motion planning with funnel control (KDF). KDF has two key components: motion planning used to generate trajectories with respect to kinodynamic constraints, and funnel control, also referred to as prescribed performance control, which enables trajectory tracking in the presence of uncertain dynamics and disturbances. We extend prescribed performance control to address the challenges posed by underactuation and control-input saturation present on the USV. The proposed scheme guarantees stability under user-defined prescribed performance functions where model parameters and exogenous disturbances are unknown. Furthermore, we present an optimization problem to obtain smooth, collision-free trajectories while respecting kinodynamic constraints. We deploy the algorithm on a USV and verify its efficiency in real-world open-water experiments.
format Preprint
id arxiv_https___arxiv_org_abs_2308_00130
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Kinodynamic Motion Planning via Funnel Control for Underactuated Unmanned Surface Vehicles
Lapandić, Dženan
Verginis, Christos K.
Dimarogonas, Dimos V.
Wahlberg, Bo
Robotics
Systems and Control
We develop an algorithm to control an underactuated unmanned surface vehicle (USV) using kinodynamic motion planning with funnel control (KDF). KDF has two key components: motion planning used to generate trajectories with respect to kinodynamic constraints, and funnel control, also referred to as prescribed performance control, which enables trajectory tracking in the presence of uncertain dynamics and disturbances. We extend prescribed performance control to address the challenges posed by underactuation and control-input saturation present on the USV. The proposed scheme guarantees stability under user-defined prescribed performance functions where model parameters and exogenous disturbances are unknown. Furthermore, we present an optimization problem to obtain smooth, collision-free trajectories while respecting kinodynamic constraints. We deploy the algorithm on a USV and verify its efficiency in real-world open-water experiments.
title Kinodynamic Motion Planning via Funnel Control for Underactuated Unmanned Surface Vehicles
topic Robotics
Systems and Control
url https://arxiv.org/abs/2308.00130