This paper presents a novel wind estimation approach, which is compared with existing ideas utilizing different combinations of common aircraft sensors to estimate the wind velocity in real time at the location of an aircraft. These different techniques were evaluated using simulation data as well as two experimental unmanned aircraft flight tests using validation data from a ground weather station. Significant performance advantage was shown of the new filtering technique over the existing approaches.


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    Titel :

    Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems


    Beteiligte:
    Rhudy, Matthew B. (Autor:in) / Yu Gu (Autor:in) / Gross, Jason N. (Autor:in) / Haiyang Chao (Autor:in)


    Erscheinungsdatum :

    01.02.2017


    Format / Umfang :

    3948924 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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