This paper presents the design, implementation, and evaluation of four filters for the estimation of angle of attack (AOA) and angle of sideslip (AOS) of small unmanned aerial vehicles (UAVs). Specifically, two novel filters (a complementary filter and an extended Kalman filter) are proposed and evaluated without using direct flow angle and Global Positioning System measurements; two existing AOA/AOS filters are also implemented and evaluated. All filters are designed with minimal inputs and states to ensure the ease of implementation, simplicity of tuning, and computation efficiency. Both simulation and UAV flight test results show the performance of the proposed filters. Especially, flight test results from two different UAVs (a T-tail UAV and a flying wing UAV) show that the root mean square errors of estimated inertial AOA and AOS are less than 1.5$^\circ$ under nominal flight conditions and around 2$^\circ$ under aggressive maneuvers compared with direct flow angle measurements.


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    Title :

    Design and Evaluation of UAV Flow Angle Estimation Filters


    Contributors:


    Publication date :

    2019-02-01


    Size :

    3974376 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English