| タイトル | Real-Time Global Nonlinear Aerodynamic Modeling for Learn-To-Fly |
| 本文（外部サイト） | http://hdl.handle.net/2060/20160007737 |
| 著者（英） | Morelli, Eugene A. |
| 発行日 | 2016-01-04 |
| 言語 | eng |
| 内容記述 | Flight testing and modeling techniques were developed to accurately identify global nonlinear aerodynamic models for aircraft in real time. The techniques were developed and demonstrated during flight testing of a remotely-piloted subscale propeller-driven fixed-wing aircraft using flight test maneuvers designed to simulate a Learn-To-Fly scenario. Prediction testing was used to evaluate the quality of the global models identified in real time. The real-time global nonlinear aerodynamic modeling algorithm will be integrated and further tested with learning adaptive control and guidance for NASA Learn-To-Fly concept flight demonstrations. |
| NASA分類 | Aircraft Stability and Control |
| レポートNO | NF1676L-21688 |
| 権利 | No Copyright |
