Research on Efficient Particle Swarm Optimization and Aerodynamic Stealth Integrated Design of Fly-wing UAV

Abstract

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

Keywords

• fly-wing uav
• ehvi infill
• asmopso algorithm
• aerodynamic and stealth integrated optimization