The University of Southampton
University of Southampton Institutional Repository

Wind tunnel testing of an avian-inspired morphing wing with distributed pressure sensing

Wind tunnel testing of an avian-inspired morphing wing with distributed pressure sensing
Wind tunnel testing of an avian-inspired morphing wing with distributed pressure sensing
Small fixed wing uncrewed air vehicles (UAVs) are often required to fly at low speeds and high angles of attack, particularly when operating in urban environments. This study focuses on the potential of combining two bio-inspired flight technologies to improve maneuverability under these conditions. The outstanding flight agility of birds is believed to be enabled by the capability to sense the airflow over their wings and morph their wing surfaces accordingly. To test the benefits of combining these abilities a wind tunnel model able to perform an avian-inspired wing sweep motion incorporating two arrays of pressure sensors was developed. Aerodynamic load results highlight strong changes to the pitching moment produced by the change in wing sweep angle. This suggests that wing sweep can be an alternative or complementary mechanism for pitch attitude control, improving control authority at high angles of attack. On the other hand, pressure sensing data shows the ability of these sensors to detect the fine details of the onset of aerodynamic stall. The combination of these two novel technologies is suggested as a potential method to improve UAV pitch control when flying at low speeds, when the aircraft is most susceptible to environmental disturbances.
bio-inspired, distributed pressure sensing, morphing, pitch control, wing sweep
290-299
IEEE
Martinez Groves-Raines, Mario
519474a4-8948-47c0-827e-2a51d689a2d1
Araujo-Estrada, Sergio
87793c63-f2bd-4169-b93d-ec1525909a7a
Mohamed, Abdulghani
aa8ab485-5672-468a-88c8-c2f0234626bf
Watkins, Simon
47af4311-6919-4229-8010-9c2bf375344b
Windsor, Shane
be3e4944-d2be-45a4-8100-03c6ca0ebea7
Martinez Groves-Raines, Mario
519474a4-8948-47c0-827e-2a51d689a2d1
Araujo-Estrada, Sergio
87793c63-f2bd-4169-b93d-ec1525909a7a
Mohamed, Abdulghani
aa8ab485-5672-468a-88c8-c2f0234626bf
Watkins, Simon
47af4311-6919-4229-8010-9c2bf375344b
Windsor, Shane
be3e4944-d2be-45a4-8100-03c6ca0ebea7

Martinez Groves-Raines, Mario, Araujo-Estrada, Sergio, Mohamed, Abdulghani, Watkins, Simon and Windsor, Shane (2022) Wind tunnel testing of an avian-inspired morphing wing with distributed pressure sensing. In 2022 International Conference on Unmanned Aircraft Systems, ICUAS 2022. IEEE. pp. 290-299 . (doi:10.1109/ICUAS54217.2022.9836045).

Record type: Conference or Workshop Item (Paper)

Abstract

Small fixed wing uncrewed air vehicles (UAVs) are often required to fly at low speeds and high angles of attack, particularly when operating in urban environments. This study focuses on the potential of combining two bio-inspired flight technologies to improve maneuverability under these conditions. The outstanding flight agility of birds is believed to be enabled by the capability to sense the airflow over their wings and morph their wing surfaces accordingly. To test the benefits of combining these abilities a wind tunnel model able to perform an avian-inspired wing sweep motion incorporating two arrays of pressure sensors was developed. Aerodynamic load results highlight strong changes to the pitching moment produced by the change in wing sweep angle. This suggests that wing sweep can be an alternative or complementary mechanism for pitch attitude control, improving control authority at high angles of attack. On the other hand, pressure sensing data shows the ability of these sensors to detect the fine details of the onset of aerodynamic stall. The combination of these two novel technologies is suggested as a potential method to improve UAV pitch control when flying at low speeds, when the aircraft is most susceptible to environmental disturbances.

Text
ICUAS_2022__Bio_Inspired_Morphing_Wing_UAV_with_Distributed_Sensing_accepted - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (10MB)

More information

Published date: 26 July 2022
Additional Information: Funding Information: This work received support from the UKRI Trustworthy Autonomous Systems Node in Functionality (EP/V026518/1), the University of Bristol EPSRC Doctoral Training Partnership Industrial and International Leverage Fund and the US Air Force Office for Scientific Research (AFOSR; grant No. FA9550-19-1-7017, RMIT University). Publisher Copyright: © 2022 IEEE.
Keywords: bio-inspired, distributed pressure sensing, morphing, pitch control, wing sweep

Identifiers

Local EPrints ID: 469052
URI: http://eprints.soton.ac.uk/id/eprint/469052
PURE UUID: 8584a337-6356-4e15-afed-f615ba92752c
ORCID for Sergio Araujo-Estrada: ORCID iD orcid.org/0000-0002-5432-5842

Catalogue record

Date deposited: 05 Sep 2022 17:02
Last modified: 17 Mar 2024 04:12

Export record

Altmetrics

Contributors

Author: Mario Martinez Groves-Raines
Author: Sergio Araujo-Estrada ORCID iD
Author: Abdulghani Mohamed
Author: Simon Watkins
Author: Shane Windsor

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.

×