M. Schmähl, B. Nagy, M. Hornung

The two main categories in aircraft noise modeling are fully empiric and semi-empiric approaches. In terms of conventional aircraft noise questions of best practices for noise modeling have been largely clarified. Despite, unmanned aerial vehicle (UAV) systems exhibit a greater variety of mission types and configurations and, thus, UAV noise modeling requires further research. In this work a fully empiric and a semi-empiric noise model of a cargo UAV in horizontal flight are created and compared regarding model accuracy, modeling effort and noise data requirements. The problem of noise fluctuations in turning flight that originate from interaction noise is addressed by introducing bank angle dependent confidence bounds to both models. Subsequently, a dis-cussion of possible noise model applications and an outlook to future noise modeling work of multirotor sys-tems conclude this work.

Deutscher Luft- und Raumfahrtkongress 2021

Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn, 2022

Conference Paper

englisch

21,0 x 29,7 cm, 6 Seiten

urn:nbn:de:101:1-2022020214363618861414

Flight noise modeling, empiric modeling, semi-empiric modeling, system identification

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Schmähl, M.; Nagy, B.; Hornung, M. (2022): Comparison of a Fully Empiric and a Semi-Empiric Noise Modeling Approach for a Cargo-UAV. Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V.. (Text). urn:nbn:de:101:1-2022020214363618861414.

02.02.2022