Airfoil Aerodynamic Coefficient Prediction Based on GA-BP

Abstract

The acquisition of aerodynamic parameters of wings is an important part of aircraft aerodynamics. The traditional acquisition methods include wind tunnel test measurement and computational fluid dynamics modeling calculation, but there are disadvantages of large amount of calculation and high cost. In this paper, the GA-BP algorithm is used to predict the lift coefficient , drag coefficient and moment coefficient under different angles of attack, Mach number and Reynolds number for various airfoils, which greatly reduces the calculation time. At the same time, the feasibility of NACA4, 5-bit mixed data set prediction is proved, and comparative experiments are done to prove the superiority of GA-BP