타이틀 |
Nonlinear Aerodynamic Modeling From Flight Data Using Advanced Piloted Maneuvers and Fuzzy Logic |
저자 |
Brandon, Jay M.;; Morelli, Eugene A. |
Keyword |
AERODYNAMICS;; AIRCRAFT MANEUVERS;; ALGORITHMS;; FLIGHT CONDITIONS;; FLIGHT ENVELOPES;; FLIGHT TESTS;; FUZZY SYSTEMS;; MATHEMATICAL MODELS;; NONLINEARITY;; PITCHING MOMENTS;; ROLLING MOMENTS;; SYSTEM IDENTIFICATION;; YAWING MOMENTS |
URL |
http://hdl.handle.net/2060/20120016338 |
보고서번호 |
NASA/TM-2012-217778 |
발행년도 |
2012 |
출처 |
NTRS (NASA Technical Report Server) |
ABSTRACT |
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. |