Psychoacoustic Characterisation of a Small Fixed-pitch Quadcopter

In this study, a series of acoustic measurements were taken on a small fixed-pitch quadcopter, both in a controlled indoor acoustic environment and while flying outdoors. At controlled indoor conditions, audio signatures were recorded with the quadcopter fixed to a horizontal stand, with 1, 2 and 4 rotor blades operating, and only with the electric motors working. At field conditions, audio signatures were recorded on the ground, varying the relative (lateral) distance and altitude between the quadcopter flight track and the microphone, and the quadcopter payload. Frequency spectra, in the form of narrowband sound-levels, and a series of sound quality metrics (loudness, sharpness, roughness, fluctuation strength and tonality) were calculated from the recorded audio signatures to investigate the specific psychoacoustic characteristics of the small quadcopter under the whole set of experimental conditions tested. On the other hand, at a first step to anticipate potential noise issues of quadcopters operating in urban environments, an objective comparison on the basis of frequency characteristics and sound quality metrics is performed between the small quadcopter and a number of road vehicles and aircraft.

[1]  J. Stolaroff,et al.  Energy use and life cycle greenhouse gas emissions of drones for commercial package delivery , 2018, Nature Communications.

[2]  Kai Song,et al.  Improvement of Zwicker’s psychoacoustic annoyance model aiming at tonal noises , 2016 .

[3]  Shashikant R. More,et al.  Aircraft Noise Characteristics and Metrics , 2010 .

[4]  Seth Roberts,et al.  On the assessment of subjective response to tonal content of contemporary aircraft noise , 2019 .

[5]  R. K. Amiet,et al.  Propeller and propfan noise , 1991 .

[6]  Anne Goodchild,et al.  Delivery by drone: An evaluation of unmanned aerial vehicle technology in reducing CO 2 emissions in the delivery service industry , 2017, Transportation Research Part D: Transport and Environment.

[7]  Jaemin Jung,et al.  Drone delivery: Factors affecting the public's attitude and intention to adopt , 2018, Telematics Informatics.

[8]  Sebastian Magierowski,et al.  Vehicle Routing Problems for Drone Delivery , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[9]  Randolph H. Cabell,et al.  Initial Investigation into the Psychoacoustic Properties of Small Unmanned Aerial System Noise , 2017 .

[10]  Randolph H. Cabell,et al.  Measured Noise from Small Unmanned Aerial Vehicles , 2016 .

[11]  Colin R. Theodore A Summary of the NASA Design Environment for Novel Vertical Lift Vehicles (DELIVER) Project , 2018 .

[12]  Hugo Fastl,et al.  Psychoacoustics: Facts and Models , 1990 .

[13]  E. Terhardt,et al.  Algorithm for extraction of pitch and pitch salience from complex tonal signals , 1982 .

[14]  J. Koiwanit Analysis of environmental impacts of drone delivery on an online shopping system , 2018, Advances in Climate Change Research.