Identification of Thrust, Lift, and Drag for Deep-stall Flight Data of a Fixed-wing Unmanned Aircraft

Torbjørn Cunis, Tobias Leth, Luminita Cristiana Totu, Anders La Cour-Harbo

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)

Abstract

In this paper, we consider a small unmanned aircraft and data collected during regular and deep-stall flight. We present an identification method for the thrust force generated by the propulsion system based on the in-flight measurements where we make use of the well-known linear and quadratic approximations of the lift and drag coefficients, respectively, for low angles of attack. This overcomes the lack of propeller thrust measurements and the obtained models are successfully evaluated against CFD simulation. The identified thrust model proves applicable beyond low angles of attack, thus enabling force estimation in the full flight envelope.
Original languageEnglish
Title of host publication2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018
Number of pages8
PublisherIEEE
Publication date14 Jun 2018
Pages531-538
Article number8453340
ISBN (Print)9781538613535
ISBN (Electronic)978-1-5386-1354-2
DOIs
Publication statusPublished - 14 Jun 2018
Event2018 International Conference on Unmanned Aircraft Systems (ICUAS) - Dallas , United States
Duration: 12 Jun 201815 Jun 2018

Conference

Conference2018 International Conference on Unmanned Aircraft Systems (ICUAS)
CountryUnited States
CityDallas
Period12/06/201815/06/2018
SeriesInternational Conference on Unmanned Aircraft Systems (ICUAS)

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