The University of Southampton
University of Southampton Institutional Repository

A conic-programing-based approach for trajectory optimisation of unmanned gliders

A conic-programing-based approach for trajectory optimisation of unmanned gliders
A conic-programing-based approach for trajectory optimisation of unmanned gliders

In recent years, employing Unmanned Aerial Vehicles (UAV) to collect data and make measurements has gained momentum. Often, the use of UAVs allows for a reduction in costs and improvements of other performance criteria. Those characteristics make UAVs suitable for disaster assessment, response and management. While the utilisation of powered UAVs has been broadly investigated in the literature, the employment of unpowered UAVs such as gliders has not been well explored. In fact, specialised control systems based on optimisation must be developed in order to guide such vehicles during their operations. In this paper we consider the problem of guiding a glider, along predetermined waypoints, in a wind field. We propose a Conic Programming Glider Trajectory Optimisation Problem, motivated by disaster assessment applications, and a solution framework. Some preliminary computational results are presented at the end of this work.

Quadratic programming, Trajectory optimisation, Unmanned gliders
183-187
The Oceanography Society
Coutinho, Walton P.
006a9f1f-e33e-4708-8419-7cf3acf755e1
Fliege, Joerg
54978787-a271-4f70-8494-3c701c893d98
Battarra, Maria
0498dc58-e9d5-4ad2-a141-040f7bcebbc2
Bleach, James
Coutinho, Walton P.
006a9f1f-e33e-4708-8419-7cf3acf755e1
Fliege, Joerg
54978787-a271-4f70-8494-3c701c893d98
Battarra, Maria
0498dc58-e9d5-4ad2-a141-040f7bcebbc2
Bleach, James

Coutinho, Walton P., Fliege, Joerg and Battarra, Maria (2016) A conic-programing-based approach for trajectory optimisation of unmanned gliders. Bleach, James (ed.) In OR58: The OR Society Annual Conference. The Oceanography Society. pp. 183-187 .

Record type: Conference or Workshop Item (Paper)

Abstract

In recent years, employing Unmanned Aerial Vehicles (UAV) to collect data and make measurements has gained momentum. Often, the use of UAVs allows for a reduction in costs and improvements of other performance criteria. Those characteristics make UAVs suitable for disaster assessment, response and management. While the utilisation of powered UAVs has been broadly investigated in the literature, the employment of unpowered UAVs such as gliders has not been well explored. In fact, specialised control systems based on optimisation must be developed in order to guide such vehicles during their operations. In this paper we consider the problem of guiding a glider, along predetermined waypoints, in a wind field. We propose a Conic Programming Glider Trajectory Optimisation Problem, motivated by disaster assessment applications, and a solution framework. Some preliminary computational results are presented at the end of this work.

This record has no associated files available for download.

More information

Published date: 2016
Venue - Dates: 58th Annual Conference on Operational Research Society, OR 2016, , Portsmouth, United Kingdom, 2016-09-06 - 2016-09-08
Keywords: Quadratic programming, Trajectory optimisation, Unmanned gliders

Identifiers

Local EPrints ID: 484184
URI: http://eprints.soton.ac.uk/id/eprint/484184
PURE UUID: a58ca9e9-8c81-4aae-93db-7a0a6ed1c226
ORCID for Joerg Fliege: ORCID iD orcid.org/0000-0002-4459-5419

Catalogue record

Date deposited: 11 Nov 2023 20:31
Last modified: 23 Apr 2024 01:41

Export record

Contributors

Author: Walton P. Coutinho
Author: Joerg Fliege ORCID iD
Author: Maria Battarra
Editor: James Bleach

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×