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AUV Trajectory Optimization with hydrodynamic forces for icy moon exploration
Responsible organisation
2023 (English)In: Proceedings of the 17th Symposium on Advanced Space Technologies in Robotics and Automation: ASTRA-2023, Scheltema, Leiden, The Netherlands, 2023Conference paper, Published paper (Other academic)
Abstract [en]

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.

Place, publisher, year, edition, pages
Scheltema, Leiden, The Netherlands, 2023.
Keywords [en]
Control, AUV, Optimal Control, Trajectory Optimization, Underwater robotics
National Category
Control Engineering Robotics
Identifiers
URN: urn:nbn:se:polar:diva-9042OAI: oai:DiVA.org:polar-9042DiVA, id: diva2:1820734
Conference
17th Symposium on Advanced Space Technologies in Robotics and Automation, 18 - 20 October 2023
Available from: 2023-12-18 Created: 2023-12-18 Last updated: 2023-12-18Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

https://robotik.dfki-bremen.de/de/forschung/publikationen/14507
Control EngineeringRobotics

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