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Nonlinear Aerodynamic Modeling from Flight Data Using Advanced Piloted Maneuvers and Fuzzy Logic
Nasa Technical Reports Server (Ntrs)
(Author)
·
Jay M. Brandon
(Author)
·
Eugene A. Morelli
(Author)
·
Bibliogov
· Paperback
Nonlinear Aerodynamic Modeling from Flight Data Using Advanced Piloted Maneuvers and Fuzzy Logic - Brandon, Jay M. ; Morelli, Eugene A. ; Nasa Technical Reports Server (Ntrs)
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Synopsis "Nonlinear Aerodynamic Modeling from Flight Data Using Advanced Piloted Maneuvers and Fuzzy Logic"
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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The book is written in English.
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