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

Authors

Pramod Abichandani, Newark College of Engineering
Deepan Lobo, New Jersey Institute of Technology
Gabriel Ford, Lockheed Martin Corporation
Donald Bucci, Lockheed Martin Corporation
Moshe Kam, Newark College of Engineering

Document Type

Article

Publication Date

1-1-2020

Abstract

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.

Identifier

85082566451 (Scopus)

Publication Title

IEEE Access

External Full Text Location

https://doi.org/10.1109/ACCESS.2020.2977693

e-ISSN

21693536

First Page

54910

Last Page

54927

Volume

8

Recommended Citation

Abichandani, Pramod; Lobo, Deepan; Ford, Gabriel; Bucci, Donald; and Kam, Moshe, "Wind Measurement and Simulation Techniques in Multi-Rotor Small Unmanned Aerial Vehicles" (2020). Faculty Publications. 5694.
https://digitalcommons.njit.edu/fac_pubs/5694