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

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisKonferenceartikelForskning

DOI

  • Torbjørn Cunis, Universite Paris-Saclay
  • ,
  • Tobias Leth, Aalborg Universitet
  • ,
  • Luminita C. Totu
  • Anders la Cour-Harbo, Aalborg Universitet

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.

OriginalsprogEngelsk
Tidsskrift2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018
Sider (fra-til)531-538
Antal sider8
DOI
StatusUdgivet - 31 aug. 2018
Eksternt udgivetJa
Begivenhed2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018 - Dallas, USA
Varighed: 12 jun. 201815 jun. 2018

Konference

Konference2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018
LandUSA
ByDallas
Periode12/06/201815/06/2018

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