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.
Aerodynamic Parameter Estimation Using Reconstructed Turbulence Measurements
AIAA SciTech 2020 ; 2020 ; Orlando, FL, US
Aufsatz (Konferenz)
Keine Angabe
Englisch