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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    Title :

    Prediction-Based Auralization of a Multirotor Urban Air Mobility Vehicle


    Contributors:

    Conference:

    2021 AIAA SciTech Forum ; 2021 ; Virtual, US


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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