Open-source simulation of underwater gliders

Grande, Davide; Huang, Luofeng; Harris, Catherine A.; Wu, Peng; Thomas, Giles; Anderlini, Enrico. 2022 Open-source simulation of underwater gliders. In: Oceans 2021: San Diego - Porto, San Diego, 20 - 23 September 2021. 1-8.

Before downloading, please read NORA policies.

Preview

Text Open-source_Simulation_of_Underwater_Gliders.pdf Download (841kB) | Preview

Abstract/Summary

Autonomous underwater gliders (AUGs) are currently deployed in oceans throughout the globe and are recording real-time, in-situ data. Simulating AUGs is rendered particularly difficult by the identification of the underlying dynamic model, as these vehicles embed several internal movable components. Acausal simulators can significantly improve the possibility to study and understand the dynamics of this class of vehicles and can in turn support the design of more robust control systems. In this paper, an open-source simulator architecture designed in OpenModelica is proposed to simulate underwater gliders. The validation is carried out using two different AUGs models, a ROGUE and a Seawing. The vehicle dynamics is firstly compared with analytical results and, following, with values obtained by means of another simulator. Further steps will entail comparing the dynamics of a simulated Seaglider with real deployment data publicly available. In this work, some of the main hydrodynamic and geometrical properties of a Seaglider are identified, computed through Computational Fluid Dynamics (CFD) analyses and retrieved from the mission ballast sheet. Overall, the developed model is expected to enhance gliders’ control strategies, thus improving their performance and mitigating incidents such as being carried away by undesired ocean currents.

Item Type:	Publication - Conference Item (Paper)
Digital Object Identifier (DOI):	10.23919/OCEANS44145.2021.9705852
Date made live:	17 Jan 2023 13:38 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/533873

Actions (login required)

View Item

Document Downloads

More statistics for this item...