In-Flight Estimation of Drag Parameters and Air Data for Unmanned Aircraft

Identifying the drag parameters of unmanned aerial vehicles (UAVs) is crucial for guaranteeing their aerodynamic efficiency. However, in contrast to commercial aircraft, obtaining accurate UAV drag parameters is challenging because the existing approaches rely on analytical models or require accurate modeling of the engine thrust, which highly depends on time-varying wind conditions. To address this challenge, this paper first proposes a novel in-flight estimation algorithm for the air data (airspeed, angle of attack, and sideslip angle) and drag parameters of UAVs. With this approach, there is no need to compute all of the contributing components for drag, to model the thrust of the UAVs, or to perform complicated wind tunnel testing/computational fluid dynamics analysis to obtain the drag parameter. Instead, the proposed algorithm requires only standard sensors such as inertial measurement units and air data systems during gliding flight. Then, an efficient glide phase detection algorithm for initiating the filter is proposed. Simulation and experimental flight testing of a UAV demonstrate that the proposed algorithm yields accurate zero lift drag coefficient, attitude, and air data estimation results according to thorough validation with newly derived metrics for performance evaluation.



Work Title In-Flight Estimation of Drag Parameters and Air Data for Unmanned Aircraft
Open Access
  1. Hanseok Ryu
  2. Changho Lee
  3. Youngmin Park
  4. Matthew B. Rhudy
  5. Dongjin Lee
  6. Dongjin Jang
  7. Wonkeun Youn
License In Copyright (Rights Reserved)
Work Type Article
  1. American Institute of Aeronautics and Astronautics (AIAA)
Publication Date March 2022
Publisher Identifier (DOI)
  1. 10.2514/1.i010967
  1. Journal of Aerospace Information Systems
Deposited May 27, 2022




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Work History

Version 1

  • Created
  • Added A_novel_method_for_in_flight_estimation_of_drag_parameters_and_air_data_of_UAVs (1)-1.pdf
  • Added Creator Hanseok Ryu
  • Added Creator Changho Lee
  • Added Creator Youngmin Park
  • Added Creator Matthew B. Rhudy
  • Added Creator Dongjin Lee
  • Added Creator Dongjin Jang
  • Added Creator Wonkeun Youn
  • Published