心理声学
烦恼
响度
噪音(视频)
螺旋桨
冗余(工程)
转子(电动)
声学
空气动力学
计算机科学
工程类
航空航天工程
海洋工程
感知
人工智能
计算机视觉
可靠性工程
机械工程
生物
物理
图像(数学)
神经科学
作者
Antonio J. Torija,Chaitanya C. Paruchuri,Zhengguang Li
摘要
Unmanned aerial vehicle (UAV) technologies are rapidly advancing due to the unlimited number of applications from parcel delivery to people transportation. As the UAV market expands, community noise impact will become a significant problem for public acceptance. Compact drone architectures based on contra-rotating propellers bring significant benefits in terms of aerodynamic performance and redundancy to ensure vehicle control in case of component failure. However, contra-rotating propellers are severely noisy if not designed appropriately. In the framework of a perception-influenced design approach, this paper investigates the optimal rotor spacing distance configuration to minimise noise annoyance. On the basis of a series of psychoacoustic metrics (i.e., loudness, fluctuation strength, roughness, sharpness, and tonality) and psychoacoustic annoyance (PA) models, the optimal rotor axial separation distance (expressed as a function of propeller blade diameter) is at a range from 0.2 to 0.4. This paper also discusses the performance of currently available psychoacoustic models to predict propeller noise annoyance and defines further work to develop a PA model optimised for rotating systems.
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