Wind Measurement and Simulation Techniques in Multi-Rotor Small Unmanned Aerial Vehicles

IEEE Access

Moshe Kam¹  Gabriel Ford²  Donald Bucci²  Pramod Abichandani³  Deepan Lobo⁴ 

[1] Electrical and Computer Engineering Department, New Jersey Institute of Technology, Newark, NJ, USA;Lockheed Martin Advanced Technology Laboratories (ATL), Cherry Hill, NJ, USA;Newark College of Engineering (NCE), New Jersey Institute of Technology, Newark, NJ, USA;Robotics and Data Laboratory (RADLab), New Jersey Institute of Technology, Newark, NJ, USA;

关键词: Unmanned aerial vehicles;    measurement;    simulation;   

DOI  :  10.1109/ACCESS.2020.2977693

来源: DOAJ

【 摘 要 】

Wind disturbance presents a formidable challenge to the flight performance of multi-rotor small unmanned aerial vehicles (sUAVs). This paper presents a comprehensive review of techniques for measuring wind speed and airspeed for multi-rotor sUAVs. Three categories of sensing techniques are reviewed: flow sensors, anemometers, and tilt-angle based approaches. We also review techniques for generating wind disturbances in simulation. Wind simulation techniques that use power spectral density (PSD) functions, computational fluid dynamics (CFD), and probabilistic models are examined. Finally, we provide an open-source Python implementation of the Dryden wind turbulence model and embedded code to interface with an ultrasonic anemometer.

【 授权许可】

Unknown