TY - GEN
T1 - A flight simulator for agile fighter aircraft and nonlinear aerodynamics
AU - Carlson, H. A.
AU - Verberg, R.
AU - Hemati, M. S.
AU - Rowley, C. W.
N1 - Funding Information:
This material is based upon work supported by the U.S. Air Force Office of Scientific Research (AFOSR) under Contract FA9550-13-C-0012. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the authors and do not necessarily reflect the views of the U. S. Air Force. CFD data were generated with the Kestrel CFD code, a product of the CREATE™-AV element of the Computational Research and Engineering for Acquisition Tools and Environments (CREATE) Program sponsored by the U. S. Department of Defense HPC Modernization Program Office.
Publisher Copyright:
© 2015 by Clear Science Corp. Published by the American Institute of Aeronautics and Astronautics, Inc.
PY - 2015
Y1 - 2015
N2 - Physics-based reduced-order models have been developed that can accurately and efficiently simulate key aspects of aircraft flight operations including aerodynamics, aeroelas- ticity, and control-surface dynamics at subsonic, transonic, and supersonic flight speeds and rapidly changing, nonlinear post-stall conditions. The modeling technology enables flight simulations and virtual flight testing of agile (highly maneuverable) fighter aircraft. Order reduction is effected by transforming from physical space to modal space using the method of proper orthogonal decomposition. Modal models constructed with a relatively small set of data from high-fidelity, computationally intensive CFD simulations (where flow properties are computed in physical space) are capable of accurately predicting the flight dynamics for a wide range of aggressive aircraft maneuvers in simulations that are significantly faster than real time. Model accuracy is demonstrated through comparisons with data from CFD simulations of an open-source fighter aircraft with and without wing stores (modeled after an F-16) and an F-16 aircraft with articulating control surfaces. Model evaluations include both rigid and flexible versions of the aircraft.
AB - Physics-based reduced-order models have been developed that can accurately and efficiently simulate key aspects of aircraft flight operations including aerodynamics, aeroelas- ticity, and control-surface dynamics at subsonic, transonic, and supersonic flight speeds and rapidly changing, nonlinear post-stall conditions. The modeling technology enables flight simulations and virtual flight testing of agile (highly maneuverable) fighter aircraft. Order reduction is effected by transforming from physical space to modal space using the method of proper orthogonal decomposition. Modal models constructed with a relatively small set of data from high-fidelity, computationally intensive CFD simulations (where flow properties are computed in physical space) are capable of accurately predicting the flight dynamics for a wide range of aggressive aircraft maneuvers in simulations that are significantly faster than real time. Model accuracy is demonstrated through comparisons with data from CFD simulations of an open-source fighter aircraft with and without wing stores (modeled after an F-16) and an F-16 aircraft with articulating control surfaces. Model evaluations include both rigid and flexible versions of the aircraft.
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U2 - 10.2514/6.2015-1506
DO - 10.2514/6.2015-1506
M3 - Conference contribution
AN - SCOPUS:84982994178
SN - 9781624103438
T3 - 53rd AIAA Aerospace Sciences Meeting
BT - 53rd AIAA Aerospace Sciences Meeting
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - 53rd AIAA Aerospace Sciences Meeting, 2015
Y2 - 5 January 2015 through 9 January 2015
ER -