Literature DB >> 33639829

Psychoacoustic analysis of contra-rotating propeller noise for unmanned aerial vehicles.

Antonio J Torija1, Paruchuri Chaitanya2, Zhengguang Li3.   

Abstract

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.

Entities:  

Year:  2021        PMID: 33639829     DOI: 10.1121/10.0003432

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  3 in total

1.  A Conceptual Framework Proposal for a Noise Modelling Service for Drones in U-Space Architecture.

Authors:  Tommy Langen; Vimala Nunavath; Ole Henrik Dahle
Journal:  Int J Environ Res Public Health       Date:  2021-12-25       Impact factor: 3.390

2.  Influencing Factors Identification and Prediction of Noise Annoyance-A Case Study on Substation Noise.

Authors:  Guoqing Di; Yihang Wang; Yao Yao; Jiangang Ma; Jian Wu
Journal:  Int J Environ Res Public Health       Date:  2022-07-09       Impact factor: 4.614

3.  Investigation of Metrics for Assessing Human Response to Drone Noise.

Authors:  Antonio J Torija; Rory K Nicholls
Journal:  Int J Environ Res Public Health       Date:  2022-03-08       Impact factor: 3.390

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.