The University of Southampton
University of Southampton Institutional Repository

A Conic Programming-based approach for the trajectory optimisation of unmanned gliders

A Conic Programming-based approach for the trajectory optimisation of unmanned gliders
A Conic Programming-based approach for the 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.
183-187
Pereira Coutinho, Walton
844cd0ea-6cef-45fd-98f6-906493797077
Fliege, Joerg
54978787-a271-4f70-8494-3c701c893d98
Battarra, Maria
0498dc58-e9d5-4ad2-a141-040f7bcebbc2
Pereira Coutinho, Walton
844cd0ea-6cef-45fd-98f6-906493797077
Fliege, Joerg
54978787-a271-4f70-8494-3c701c893d98
Battarra, Maria
0498dc58-e9d5-4ad2-a141-040f7bcebbc2

Pereira Coutinho, Walton, Fliege, Joerg and Battarra, Maria (2016) A Conic Programming-based approach for the trajectory optimisation of unmanned gliders. OR58: The OR Society Annual Conference, Portsmouth, United Kingdom. 06 - 08 Sep 2016. pp. 183-187 .

Record type: Conference or Workshop Item (Other)

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.

Text
CoutinhoEtAl2016.pdf - Version of Record
Download (218kB)

More information

Accepted/In Press date: 20 June 2016
e-pub ahead of print date: 8 September 2016
Published date: 2016
Venue - Dates: OR58: The OR Society Annual Conference, Portsmouth, United Kingdom, 2016-09-06 - 2016-09-08
Organisations: Operational Research

Identifiers

Local EPrints ID: 403037
URI: http://eprints.soton.ac.uk/id/eprint/403037
PURE UUID: 2975d0d6-d0d3-43ae-9c23-0a3ea09ce46b
ORCID for Joerg Fliege: ORCID iD orcid.org/0000-0002-4459-5419

Catalogue record

Date deposited: 22 Nov 2016 15:24
Last modified: 16 Mar 2024 03:57

Export record

Contributors

Author: Walton Pereira Coutinho
Author: Joerg Fliege ORCID iD
Author: Maria Battarra

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.

×