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Auralization of an Unmanned Aerial Vehicle Under Propeller Phase ControlCommunity noise has been identified as a major barrier to entry into service of unmanned aerial vehicle platforms. Common among such vehicle architectures is a distributed electric propulsion system, in which many propellers and/or rotors are used for thrust and/or lift. A promising noise reduction technique was recently developed to favorably modify the vehicle source noise directivity, by adjusting the relative azimuthal position of the prop/rotor blades between propulsors. Un- der idealized conditions, such phase control can yield noise reductions on the order of 20 dB at a ground observer relative to the average case having a random phase distribution. However, human perception of the resulting noise may not be fully captured by such a simple acoustic measure. To this end, this paper under- takes the auralization of the tonal vehicle noise. Specifically, total propeller tonal noise is optimized over a set of observer zones, e.g., 45 deg. wedges, around the vehicle. Each zone represents a unique set of relative phases. The forward flight of the vehicle adjacent to a noise-sensitive area is simulated by prescribing a series of zones over the flight path having minimum noise in the direction of the ob- server. Auralizations and their associated metrics are compared with a reference condition.




Document ID
20200002561
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Pascioni, Kyle A.
(National Inst. of Aerospace Hampton, VA, United States)
Rizzi, Stephen A.
(NASA Langley Research Center Hampton, VA, United States)
Aumann, Aric R.
(Science Applications International Corp. Hampton, VA, United States)
Date Acquired
April 17, 2020
Publication Date
August 26, 2018
Subject Category
Acoustics
Report/Patent Number
NF1676L-29500
Meeting Information
Meeting: International Congress and Exposition on Noise Control Engineering
Location: Chicago, IL
Country: United States
Start Date: August 26, 2018
End Date: August 29, 2018
Sponsors: Institute of Noise Control Engineering
Funding Number(s)
WBS: 109492.02.07.01.10
Distribution Limits
Public
Copyright
Public Use Permitted.
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