A classical method for reconstructing atmospheric turbulence from onboard measurements of airdata and inertial sensors was improved. The reconstructed turbulence was included in a system identification analysis to estimate nondimensional stability and control derivatives in a longitudinal short period model using the maximum likelihood equation-error method with Fourier transform data. Practical aspects of the approach are discussed, such as reconstruction accuracy, data collinearity, model structure, and real-time estimation. Results using simulation and flight test data for a subscale airplane indicated that accurate turbulence reconstructions and parameter estimates could be obtained from maneuvering flight in high levels of turbulence.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Aerodynamic Parameter Estimation Using Reconstructed Turbulence Measurements


    Contributors:

    Conference:

    AIAA SciTech 2020 ; 2020 ; Orlando, FL, US


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English