JOURNAL ARTICLE

Aerodynamic Force Modeling of Multirotor Unmanned Aerial Vehicles

J. X. J. BannwarthZ. Jeremy ChenKarl StolBruce A. MacDonaldP. Richards

Year: 2018 Journal:   AIAA Journal Vol: 57 (3)Pages: 1250-1259   Publisher: American Institute of Aeronautics and Astronautics

Abstract

This paper describes a novel multirotor unmanned aerial vehicle aerodynamic force model with the aim of creating a multirotor simulation that is suitable for the evaluation of station-keeping performance in turbulent wind. It fills the gap between simple models that ignore important aerodynamic effects and other more comprehensive but computationally expensive models. The model is synthesized from static wind tunnel test data and accounts for variations in angular rotor speed, apparent wind speed, and angle of attack on the vehicle's rotors. Experimental validation is performed through indoor free-flight pitch step responses. On average, the simulated root mean square pitch tracking error is found to be within 31% of the experiment. The usefulness of the whole system to determine station-keeping performance is assessed by free-flight station-keeping experiments in a wind tunnel environment. The tracking error along all three axes is found to increase with increasing mean wind speed. The simulated standard deviation of errors along the wind direction is on average within 7% of the experiment, whereas those of the errors along axes perpendicular to the wind direction are found to be within 56%. Overall trends are similar in all cases, making the model suitable for performance comparisons of flight controllers.

Keywords:
Multirotor Aerodynamics Wind tunnel Wind speed Aerospace engineering Angle of attack Rotor (electric) Simulation Aerodynamic force Control theory (sociology) Computer science Engineering Physics Meteorology Mechanical engineering

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23
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4.12
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16
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0.95
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Citation History

Topics

Aerospace and Aviation Technology
Physical Sciences →  Engineering →  Aerospace Engineering
Air Traffic Management and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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