Paper
28 August 2024 Aerodynamic parameter identification method of unmanned aerial vehicles (UAVs)
Hanbing Li
Author Affiliations +
Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 1325123 (2024) https://doi.org/10.1117/12.3039610
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China
Abstract
System identification theory is a impactful tool for modelling vehicle dynamics. Aiming at the situation that the UAV flight test conditions are limited and complete flight data cannot be obtained, a method to estimate the aerodynamic angle and aerodynamic coefficients based on measurable data is proposed. Taking a flying-wing UAV as an example, the longitudinal and transverse-lateral related aerodynamic parameters are identified and calculated by the least squares method, respectively. The comparison between the test data and simulation results verifies the correctness and practicality of the methods. Considering the mathematical nature of the discriminative modelling, the method is generally applicable to fixed-wing UAVs of all aerodynamic layouts.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hanbing Li "Aerodynamic parameter identification method of unmanned aerial vehicles (UAVs)", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 1325123 (28 August 2024); https://doi.org/10.1117/12.3039610
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KEYWORDS
Unmanned aerial vehicles

Aerodynamics

Data modeling

Modeling

Design

Global Positioning System

System identification

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