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

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 Proceedings of International Conference for Unmanned Aircraft Systems (ICUAS)
Number of pages8
PublisherIEEE
Publication date14 Jun 2018
Pages531-538
ISBN (Print)978-1-5386-1355-9, 978-1-5386-1353-5
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)

Fingerprint

Fixed wings
Angle of attack
Drag
Aircraft
Flight envelopes
Drag coefficient
Propellers
Propulsion
Computational fluid dynamics

Cite this

Cunis, T., Leth, T., Totu, L. C., & La Cour-Harbo, A. (2018). Identification of Thrust, Lift, and Drag for Deep-stall Flight Data of a Fixed-wing Unmanned Aircraft. In 2018 Proceedings of International Conference for Unmanned Aircraft Systems (ICUAS) (pp. 531-538). IEEE. International Conference on Unmanned Aircraft Systems (ICUAS) https://doi.org/10.1109/ICUAS.2018.8453340
Cunis, Torbjørn ; Leth, Tobias ; Totu, Luminita Cristiana ; La Cour-Harbo, Anders. / Identification of Thrust, Lift, and Drag for Deep-stall Flight Data of a Fixed-wing Unmanned Aircraft. 2018 Proceedings of International Conference for Unmanned Aircraft Systems (ICUAS). IEEE, 2018. pp. 531-538 (International Conference on Unmanned Aircraft Systems (ICUAS)).
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title = "Identification of Thrust, Lift, and Drag for Deep-stall Flight Data of a Fixed-wing Unmanned Aircraft",
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.",
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Cunis, T, Leth, T, Totu, LC & La Cour-Harbo, A 2018, Identification of Thrust, Lift, and Drag for Deep-stall Flight Data of a Fixed-wing Unmanned Aircraft. in 2018 Proceedings of International Conference for Unmanned Aircraft Systems (ICUAS). IEEE, International Conference on Unmanned Aircraft Systems (ICUAS), pp. 531-538, 2018 International Conference on Unmanned Aircraft Systems (ICUAS), Dallas , United States, 12/06/2018. https://doi.org/10.1109/ICUAS.2018.8453340

Identification of Thrust, Lift, and Drag for Deep-stall Flight Data of a Fixed-wing Unmanned Aircraft. / Cunis, Torbjørn; Leth, Tobias; Totu, Luminita Cristiana; La Cour-Harbo, Anders.

2018 Proceedings of International Conference for Unmanned Aircraft Systems (ICUAS). IEEE, 2018. p. 531-538 (International Conference on Unmanned Aircraft Systems (ICUAS)).

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

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AB - 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.

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Cunis T, Leth T, Totu LC, La Cour-Harbo A. Identification of Thrust, Lift, and Drag for Deep-stall Flight Data of a Fixed-wing Unmanned Aircraft. In 2018 Proceedings of International Conference for Unmanned Aircraft Systems (ICUAS). IEEE. 2018. p. 531-538. (International Conference on Unmanned Aircraft Systems (ICUAS)). https://doi.org/10.1109/ICUAS.2018.8453340