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Towards autonomy: A recommender system for the determination of trim and flight parameters for Seagliders

Anderlini, E; Harris, C; Phillips, AB; Lorenzo Lopez, A; Woo, M; Thomas, G; (2019) Towards autonomy: A recommender system for the determination of trim and flight parameters for Seagliders. Ocean Engineering , 189 , Article 106338. 10.1016/j.oceaneng.2019.106338. Green open access

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Abstract

Currently, pilots maximise the performance of Seaglider underwater gliders by manually selecting their set-up parameters. Building on existing procedures based on the assumption of steady-state motions, a recommender system for the trim and flight parameters has been developed to aid trainee pilots and enable round-the-clock operations. The system has been validated with data from 12 missions run in waters off the United Kingdom and Australia, representative of a range of oceanographic conditions. The recommended trim parameters present a maximum difference of 14% from the values selected by the pilots, whereas pilots are found not to change the flight parameters. Additionally, suggestions are made to improve operational practices to further improve the accuracy of the recommender system. As a result, the developed system is expected to greatly help trainee pilots achieve expertise in a much smaller time frame than standard practice. Additionally, thanks to its high precision, the recommender system can be used to autonomously select the trim and flight parameters of Seagliders for night operations in the future.

Type: Article
Title: Towards autonomy: A recommender system for the determination of trim and flight parameters for Seagliders
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.oceaneng.2019.106338
Publisher version: https://doi.org/10.1016/j.oceaneng.2019.106338
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Autonomous underwater vehicle (AUV), underwater glider, system identification, recommender system
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10081068
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