Practical aspects of autonomous onboard real-time modeling for the NASA Learn-to-Fly concept are examined using flight data from two subscale test aircraft. A practical real-time global nonlinear aerodynamic modeling method is developed and explained, along with the multiple-input excitation needed for effective real-time modeling. Critical issues for integrating real-time global nonlinear aerodynamic modeling and local linear modeling with the real-time learning adaptive control and guidance elements of the Learn-to-Fly algorithm are identified and discussed. Real-time modeling results from NASA Learn-to-Fly flight demonstrations are presented and evaluated using model fit metrics and prediction tests.
Practical Aspects of Real-Time Modeling for the Learn-To-Fly Concept
2018
35 pages
Report
Keine Angabe
Englisch
Transportation Safety , Air Transportation , Accelerometers , Aerodynamic characteristics , Dynamic pressure , Flight tests , Real time operation , Tail assemblies , Trailing edges , Wings , Aerodynamic interference , Airborne/spaceborne computers , Algorithms , Angle of attack , Autonomy , Center of gravity , Computational fluid dynamics , Control surfaces
Practical Aspects of Real-Time Modeling for the Learn-To-Fly Concept (AIAA 2018-3309)
British Library Conference Proceedings | 2018
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