Governed by: Ministry of Industry and Information Technology of the People's Republic of China
Sponsored by: Northwestern Polytechnical University  Chinese Society Aeronautics and Astronautics
Address: Aviation Building,Youyi Campus, Northwestern Polytechnical University
Aerodynamic and stealth integrated design of Flywing UAV by Efficient multi-objective particle swarm optimization
Author:
Affiliation:

School of aeronautics,Northwestern Polytechnical University,Xi’an

Clc Number:

V211.41

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    To deal with the problem of aerodynamic and stealth integrated optimization of flywing UAV,A multi-objective optimization study on aerodynamic and stealth of the flywing UAV is carried out which based on the deformation of surface. The FFD parametric method is used to parameterize the wing surface; CFD calculation based on RANS equations is used to analyze the aerodynamic performance of the flywing UAV, large element physical optical method and uniform theory of diffraction are used to calculate RCS of the flywing UAV; And ASMOPSO algorithm with the Kriging surrogate model which based on the expect hyper-volume improvement infill criterion is adopted for integrated optimization design. The results of flywing UAV aerodynamic and stealth integrated optimization exhibit considerable improvement.

    Reference
    Related
    Cited by
Get Citation

Fan Huayu, Zhan Hao, Cheng Shixin, Mi Baigang, Yao huiqin. Aerodynamic and stealth integrated design of Flywing UAV by Efficient multi-objective particle swarm optimization[J]. Advances in Aeronautical Science and Engineering,2019,10(6):735-743

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:August 20,2019
  • Revised:September 03,2019
  • Adopted:September 30,2019
  • Online: December 30,2019
  • Published: