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.