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

Walton P. Coutinho, Joerg Fliege, Maria Battarra

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

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.

Original languageEnglish
Title of host publicationOR58
Subtitle of host publicationThe OR Society Annual Conference
EditorsJames Bleach
PublisherThe Oceanography Society
Pages183-187
Number of pages5
ISBN (Electronic)9780903440608
Publication statusPublished - 2016
Event58th Annual Conference on Operational Research Society, OR 2016 - Portsmouth, UK United Kingdom
Duration: 6 Sept 20168 Sept 2016

Conference

Conference58th Annual Conference on Operational Research Society, OR 2016
Country/TerritoryUK United Kingdom
CityPortsmouth
Period6/09/168/09/16

Keywords

  • Quadratic programming
  • Trajectory optimisation
  • Unmanned gliders

ASJC Scopus subject areas

  • Numerical Analysis
  • Computational Theory and Mathematics
  • Management of Technology and Innovation
  • Management Science and Operations Research
  • Modelling and Simulation
  • Strategy and Management

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