哈尔滨商业大学学报（自然科学版）2026，Vol.42Issue(2)：141-146,154,7.
基于遗传算法的四旋翼无人机翼型优化设计
Optimization design of quadcopter unmanned aerial vehicle wing based on genetic algorithm
摘要
Abstract
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.关键词
四旋翼无人机/遗传算法/参数化翼型/Isight优化平台/CFD数值分析Key words
quadcopter unmanned aerial vehicle/genetic algorithm/parameterized airfoil/Isight optimization platform/CFD numerical analysis分类
航空航天引用本文复制引用
岳继昌,戴圣霖,贾剑超,黄振扬,冯砚博..基于遗传算法的四旋翼无人机翼型优化设计[J].哈尔滨商业大学学报（自然科学版）,2026,42(2):141-146,154,7.基金项目
黑龙江省科研项目(22GLB119) （22GLB119）
黑龙江博士后科研启动基金(BS0048) （BS0048）
哈尔滨商业大学教学改革项目(HSDJY202221) （HSDJY202221）
哈尔滨商业大学研究生2024 精品课程和思政课程建设项目,国家大学生创新创业项目(S202510240057,202510240207) （S202510240057,202510240207）
