河北工业科技2026，Vol.43Issue(4)：355-363,9.DOI:10.7535/hbgykj.2026yx04008
无尾式太阳能无人机气动外形优化
Aerodynamic shape optimization of tailless solar-powered UAV
摘要
Abstract
To enhance the aerodynamic performance of a solar-powered unmanned aerial vehicle(UAV),this study investigated its geometric shape optimization.First,according to the aerodynamic performance requirements of tailless configurations,the overall aircraft layout scheme was designed and parametrically modeled.Second,software modules including CATIA geometric modeling,SpaceClaim preprocessing and Fluent discrete solution were integrated via the Isight platform to establish a fully automatic simulation framework covering the whole workflow of ″modeling-preprocessing-numerical calculation″.Combined with the Kriging surrogate model and non-dominated sorting genetic algorithm(NSGA-Ⅱ),an efficient aerodynamic shape optimization system was constructed.Finally,multi-objective and multi-constraint aerodynamic shape optimization was carried out under the low-Reynolds-number cruise condition of the UAV,where the minimum drag coefficient and minimum pitching moment coefficient were taken as optimization objectives,while the lift-drag ratio and projected area were set as constraint conditions.The results show that the optimized UAV features increased wing-sweep angle and aspect ratio.The scope of low-pressure region on the upper wing surface and the pressure difference between upper and lower wing surfaces both rise accordingly,delaying flow separation at the trailing edge and reducing drag.At the design angle of attack,the lift coefficient increases by 3.9%,the drag coefficient decreases by 5.5%,and the pitching moment coefficient is reduced by 16.8%.At off-design angles of attack,the lift-to-drag ratio also improves.Overall,the aerodynamic efficiency and flight stability of the UAV are significantly improved.The proposed optimization framework provides a valuable technical reference for enhancing the aerodynamic performance of UAVs.关键词
定翼机/无尾式布局/气动优化/遗传算法/计算流体力学Key words
fixed-wing aircraft/tailless layout/aerodynamic optimization/genetic algorithm/computational fluid dynamics分类
航空航天引用本文复制引用
孟宾,王达,杨昕宇,奚乐乐,杨泽夏..无尾式太阳能无人机气动外形优化[J].河北工业科技,2026,43(4):355-363,9.基金项目
河北省重大科技项目(242G1601Z) （242G1601Z）
河北省自然科学基金(F2024208002) （F2024208002）
河北省高等学校科学研究青年基金(QN2024205) （QN2024205）
