Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Towards the Determination of Safe Operating Envelopes for Autonomous UAS in Offshore Inspection Missions

Page, V, Dadswell, C, Webster, M, Jump, M and Fisher, M (2021) Towards the Determination of Safe Operating Envelopes for Autonomous UAS in Offshore Inspection Missions. Robotics, 10 (3). ISSN 2218-6581

[img]
Preview
Text
robotics-10-00097.pdf - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview
Open Access URL: https://doi.org/10.3390/robotics10030097 (Published version)

Abstract

<jats:p>A drive to reduce costs, carbon emissions, and the number of required personnel in the offshore energy industry has led to proposals for the increased use of autonomous/robotic systems for many maintenance tasks. There are questions over how such missions can be shown to be safe. A corollary exists in the manned aviation world for helicopter–ship operations where a test pilot attempts to operate from a ship under a range of wind conditions and provides subjective feedback on the level of difficulty encountered. This defines the ship–helicopter operating limit envelope (SHOL). Due to the cost of creating a SHOL there has been considerable research activity to demonstrate that much of this process can be performed virtually. Unmanned vehicles, however, have no test pilot to provide feedback. This paper therefore explores the possibility of adapting manned simulation techniques to the unmanned world to demonstrate that a mission is safe. Through flight modelling and simulation techniques it is shown that operating envelopes can be created for an oil rig inspection task and that, by using variable performance specifications, these can be tailored to suit the level of acceptable risk. The operating envelopes produced provide condensed and intelligible information regarding the environmental conditions under which the UAS can perform the task.</jats:p>

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Computer Science & Mathematics
Publisher: MDPI
Date Deposited: 02 Aug 2021 12:34
Last Modified: 04 Sep 2021 05:11
DOI or ID number: 10.3390/robotics10030097
URI: https://researchonline.ljmu.ac.uk/id/eprint/15339
View Item View Item