Semi-empiric noise modeling of a Cargo eVTOL UAV by means of system identification from flight noise measurement data

Michael Schmähl, Christian Rieger, Sebastian Speck, Mirko Hornung

Research output: Contribution to journalArticlepeer-review

Abstract

This publication shows the semi-empiric noise modeling of an electric-powered vertical takeoff and landing (eVTOL) unmanned aerial vehicle (UAV) by means of system identification from flight noise measurement data. This work aims to provide noise models with a compact analytical ansatz for horizontal and vertical flight which are suited for integration into a geographical information system. Therefore, flight noise measurement campaigns were conducted and evaluated. An existing noise model ansatz is adapted to the eVTOL UAV under consideration and noise models are computed from the measurement data using the output error method. The resulting models are checked for plausibility by comparing them to technical literature. The horizontal flight noise model is subjected to a correlation analysis and the influence of meteorological effects are examined. To achieve a higher level of accuracy in future noise modelings, an optimization of the microphone positions as well as the flight trajectory is carried out.

Original languageEnglish
Pages (from-to)85-96
Number of pages12
JournalCEAS Aeronautical Journal
Volume13
Issue number1
DOIs
StatePublished - Jan 2022

Keywords

  • Flight noise measurement
  • Noise modeling
  • Output error method
  • UAV
  • Urban air mobility
  • eVTOL

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