基于遗传算法的四旋翼无人机翼型优化设计OA

To address the issues of insufficient flight power and limited structural expansion in small quadcopter drones,the aerodynamic characteristics were improved by optimizing the lift coefficient and lift-to-drag ratio,without changing the propeller diameter.Using the general quadcopter wing profile CLARK Y as an example,the wing profile was parameterized using the Hicks-Henne function.The genetic algorithm with an elite strategy was employed to globally optimize the decision variables of the parameterized wing profile.The optimization was subject to constraints based on the lift coefficient and lift-to-drag ratio,aiming to maximize the aerodynamic performance.This optimization process was integrated into the Isight optimization platform.A computational fluid dynamics(CFD)simulation was conducted using the multiple reference frame(MRF)method to compare the optimized wing profile with the baseline profile and validate the optimization results.The results showed that the aerodynamic characteristics of the optimized wing profile were significantly improved compared to the baseline.The lift-to-drag ratio increased by 38%,and the lift coefficient increased by 23%.The CFD simulation indicated that the optimized wing profile showed significant improvements in both turbulence distribution and pressure distribution.