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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    Title :

    Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems


    Contributors:
    Rhudy, Matthew B. (author) / Yu Gu (author) / Gross, Jason N. (author) / Haiyang Chao (author)


    Publication date :

    2017-02-01


    Size :

    3948924 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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