Nonlinear Aerodynamic Modeling from Flight Data Using Advanced Piloted Maneuvers and Fuzzy Logic

Jay M Brandon,Eugene a Morelli

Nonlinear Aerodynamic Modeling from Flight Data Using Advanced Piloted Maneuvers and Fuzzy Logic
Format
Paperback
Publisher
Bibliogov
Country
United States
Published
9 July 2013
Pages
28
ISBN
9781289152260

Nonlinear Aerodynamic Modeling from Flight Data Using Advanced Piloted Maneuvers and Fuzzy Logic

Jay M Brandon,Eugene a Morelli

Results of the Aeronautics Research Mission Directorate Seedling Project Phase I research project entitled \“Nonlinear Aerodynamics Modeling using Fuzzy Logic\” are presented. Efficient and rapid flight test capabilities were developed for estimating highly nonlinear models of airplane aerodynamics over a large flight envelope. Results showed that the flight maneuvers developed, used in conjunction with the fuzzy-logic system identification algorithms, produced very good model fits of the data, with no model structure inputs required, for flight conditions ranging from cruise to departure and spin conditions.

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