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    Prediction-Based Auralization of a Multirotor Urban Air Mobility Vehicle

    Prediction-Based Auralization of a Multirotor Urban Air Mobility Vehicle


    Recent advances in auralization methods applicable to rotary wing vehicles have made it possible to undertake a prediction-based auralization of a representative multirotor urban air mobility vehicle. These advances include a new capability for synthesizing loading and thickness noise directly from the prediction method and a new capability for predicting and synthesizing modulating broadband self noise within a unified system noise prediction-auralization framework. These capabilities are demonstrated for a six passenger quadrotor reference vehicle design using collective-pitch control. Propagation of the source noise to a ground observer completes the auralization process. The demonstrated capability serves as the basis for future work directed at perception-influenced design of low noise urban air mobility vehicles.

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    Titel :

    Prediction-Based Auralization of a Multirotor Urban Air Mobility Vehicle

    Beteiligte:
    Siddhartha Krishnamurthy (Autor:in) / Stephen A Rizzi (Autor:in) / Rui Cheng (Autor:in) / D Douglas Boyd, Jr (Autor:in) / Andrew Christian (Autor:in)
    Kongress:

    2021 AIAA SciTech Forum ; 2021 ; Virtual, US

    Medientyp :

    Aufsatz (Konferenz)

    Format :

    Keine Angabe

    Sprache :

    Englisch

    Schlagwörter :

    NASA Auralization Framework , quadrotor , Acoustics , F1A Synthesis , NAF , Urban Air Mobility , UAM , Self Noise , Loading and Thickness Noise , Broadband Self Noise , Auralization

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