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- W4206124573 abstract "Recursive techniques such as the Recursive Fourier Transform (RFT) in the frequency domain are able to provide estimates for aerodynamic parameters in real time. The RFT method can also handle time-varying parameters, but usually requires a forgetting factor to adapt faster to the current aerodynamics. While this approach is adequate for variations due to high angle of attack, a morphing vehicle represents a challenge for these techniques. In this work, real-time parameter estimation techniques are applied to a folding-wing vehicle, which might experience significant variations in aerodynamics over a short time. A nonlinear simulation environment is used to implement optimized inputs while simultaneously changing the fold angle of the wing. Results showed that a new data partitioning scheme based on the standard error of the estimates is able to automatically divide the domain of interest in real time, as the flight test maneuvers progress." @default.
- W4206124573 created "2022-01-25" @default.
- W4206124573 creator A5018345920 @default.
- W4206124573 date "2022-01-03" @default.
- W4206124573 modified "2023-09-27" @default.
- W4206124573 title "Real-Time Aerodynamic Modeling of a Folding Wing Vehicle using Automatic Data Partitioning" @default.
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- W4206124573 doi "https://doi.org/10.2514/6.2022-1309" @default.
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