50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition 2012
DOI: 10.2514/6.2012-1050
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Efficient Global Aerodynamic Modeling from Flight Data

Abstract: A method for identifying global aerodynamic models from flight data in an efficient manner is explained and demonstrated. A novel experiment design technique was used to obtain dynamic flight data over a range of flight conditions with a single flight maneuver. Multivariate polynomials and polynomial splines were used with orthogonalization techniques and statistical modeling metrics to synthesize global nonlinear aerodynamic models directly and completely from flight data alone. Simulation data and flight dat… Show more

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Cited by 75 publications
(60 citation statements)
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“…A recent paper by Morelli 5 in 2012 produced global aerodynamic models for GTM using flight test data. The results were obtained using automated perturbation inputs and were presented over a large range of angle of attack.…”
Section: Introductionmentioning
confidence: 99%
“…A recent paper by Morelli 5 in 2012 produced global aerodynamic models for GTM using flight test data. The results were obtained using automated perturbation inputs and were presented over a large range of angle of attack.…”
Section: Introductionmentioning
confidence: 99%
“…This assignment provides orthogonality in the frequency domain as distinct spectral lines form the frequency content of each input. In the time domain, the mutual orthogonality is achieved due to orthogonality properties of the sine function (Morelli, 2012). It is practicable to omit the first harmonic in this assignment in order to optimize the cost function effectively.…”
Section: Multisine Input Signalsmentioning
confidence: 99%
“…The multisine input is an excitation that is composed of summed harmonic sinusoids with individual amplitudes A k and phase shifts φ k (Morelli, 2012) …”
Section: Multisine Input Signalsmentioning
confidence: 99%
“…More recently, Morelli [21,29] and Grauer [30] applied a multi-variate polynomial model obtained from an orthogonal model structure selection to various aircraft. The latter model structure selection technique transforms the full set of candidate regressors to the orthogonal domain in order to test the significance of each parameter.…”
Section: Model Structure Selectionmentioning
confidence: 99%