AUV trajectory optimization with hydrodynamic forces for Icy Moon Exploration

Fuente: arXiv
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Autori principali: Rust, Lukas, Vyas, Shubham, Wehbe, Bilal
Natura: Preprint
Pubblicazione: 2024
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author Rust, Lukas
Vyas, Shubham
Wehbe, Bilal
author_facet Rust, Lukas
Vyas, Shubham
Wehbe, Bilal
contents To explore oceans on ice-covered moons in the solar system, energy-efficient Autonomous Underwater Vehicles (AUVs) with long ranges must cover enough distance to record and collect enough data. These usually underactuated vehicles are hard to control when performing tasks such as vertical docking or the inspection of vertical walls. This paper introduces a control strategy for DeepLeng to navigate in the ice-covered ocean of Jupiter's moon Europa and presents simulation results preceding a discussion on what is further needed for robust control during the mission.
format Preprint
id arxiv_https___arxiv_org_abs_2406_09929
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle AUV trajectory optimization with hydrodynamic forces for Icy Moon Exploration
Rust, Lukas
Vyas, Shubham
Wehbe, Bilal
Robotics
Systems and Control
To explore oceans on ice-covered moons in the solar system, energy-efficient Autonomous Underwater Vehicles (AUVs) with long ranges must cover enough distance to record and collect enough data. These usually underactuated vehicles are hard to control when performing tasks such as vertical docking or the inspection of vertical walls. This paper introduces a control strategy for DeepLeng to navigate in the ice-covered ocean of Jupiter's moon Europa and presents simulation results preceding a discussion on what is further needed for robust control during the mission.
title AUV trajectory optimization with hydrodynamic forces for Icy Moon Exploration
topic Robotics
Systems and Control
url https://arxiv.org/abs/2406.09929