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Progressive identification of lateral nonlinear unsteady aerodynamics from wind tunnel test data

  • Shuang Hu
  • Jihong ZhuEmail author
  • Wei Yang
Letter
  • 8 Downloads

Supplementary material

References

  1. 1.
    Murphy P C, Klein V, Frink N T. Nonlinear unsteady aerodynamic modeling using wind-tunnel and computational data. J Aircraft, 2017, 54: 659–683CrossRefGoogle Scholar
  2. 2.
    Murphy P C, Vicroy D D, Kramer B, et al. Hybrid wing body model identification using forced-oscillation water tunnel data. In: Proceedings of AIAA Atmospheric Flight Mechanics Conference, Atlanta, 2014CrossRefGoogle Scholar
  3. 3.
    Luchtenburg D M, Rowley C W, Lohry M W, et al. Unsteady high-angle-of-attack aerodynamic models of a generic jet transport. J Aircraft, 2015, 52: 890–895CrossRefGoogle Scholar
  4. 4.
    Hu S, Zhu J H. Longitudinal high incidence unsteady aerodynamic modeling for advanced combat aircraft configuration from wind tunnel data. Sci China Inf Sci, 2017, 60: 118201CrossRefGoogle Scholar
  5. 5.
    Abramov N, Goman M, Khrabrov A. Aircraft dynamics at high incidence flight with account of unsteady aerodynamic effects. In: Proceedings of AIAA Atmospheric Flight Mechanics Conference and Exhibit, Providence, 2004CrossRefGoogle Scholar
  6. 6.
    Ignatyev D I, Khrabrov A N. Neural network modeling of unsteady aerodynamic characteristics at high angles of attack. Aerosp Sci Tech, 2015, 41: 106–115CrossRefGoogle Scholar
  7. 7.
    Wang Q, Qian W Q, He K F. Unsteady aerodynamic modeling at high angles of attack using support vector machines. Chin J Aeronaut, 2015, 28: 659–668CrossRefGoogle Scholar

Copyright information

© Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer Science and TechnologyTsinghua UniversityBeijingChina
  2. 2.Chengdu Aircraft Design and Research InstituteAviation Industry Corporation of ChinaChengduChina

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