TY - JOUR
T1 - Aerodynamic Characteristics Optimization Design of the HALE Joined-Wing Configuration UAV
AU - Sun, Junlei
AU - Zhou, Zhou
AU - TserendondogTengis,
AU - Zhang, Jian
N1 - Publisher Copyright:
Copyright © 2026 Junlei Sun et al. International Journal of Aerospace Engineering published by John Wiley & Sons Ltd.
PY - 2026
Y1 - 2026
N2 - This study investigates the factors influencing the aerodynamic performance enhancement of the rear wing of the joined-wing configuration UAVs by analyzing the flow field structure and flow mechanisms before and after airfoil optimization. Correspondingly, an optimization design concept tailored to joined-wing aircraft is proposed. Focusing on the rear wing, a three-dimensional design framework integrating geometric parameterization, aerodynamic simulation, and radar performance analysis was developed. The accuracy of the surrogate model was enhanced through multiround updating and optimization, and the optimal solution was derived using a genetic algorithm. The results demonstrate that the lift–drag ratio of the rear wing has been improved by approximately 9.7%. Specifically, the optimization outcomes confirm that adjusting the airfoil geometry and introducing a spanwise variation in the installation angle of control surfaces mitigates the adverse effects of front-wing downwash on the rear wing, thereby improving the overall aerodynamic characteristics. By fully accounting for the interference of Frt-wing downwash, this framework addresses the core challenges in rear-wing aerodynamic optimization and provides an effective solution for enhancing the high-altitude flight efficiency of UAVs.
AB - This study investigates the factors influencing the aerodynamic performance enhancement of the rear wing of the joined-wing configuration UAVs by analyzing the flow field structure and flow mechanisms before and after airfoil optimization. Correspondingly, an optimization design concept tailored to joined-wing aircraft is proposed. Focusing on the rear wing, a three-dimensional design framework integrating geometric parameterization, aerodynamic simulation, and radar performance analysis was developed. The accuracy of the surrogate model was enhanced through multiround updating and optimization, and the optimal solution was derived using a genetic algorithm. The results demonstrate that the lift–drag ratio of the rear wing has been improved by approximately 9.7%. Specifically, the optimization outcomes confirm that adjusting the airfoil geometry and introducing a spanwise variation in the installation angle of control surfaces mitigates the adverse effects of front-wing downwash on the rear wing, thereby improving the overall aerodynamic characteristics. By fully accounting for the interference of Frt-wing downwash, this framework addresses the core challenges in rear-wing aerodynamic optimization and provides an effective solution for enhancing the high-altitude flight efficiency of UAVs.
KW - aerodynamic optimization design
KW - flow field structure
KW - HALE
KW - joined-wing configuration
UR - https://www.scopus.com/pages/publications/105033845281
U2 - 10.1155/ijae/6628131
DO - 10.1155/ijae/6628131
M3 - 文章
AN - SCOPUS:105033845281
SN - 1687-5966
VL - 2026
JO - International Journal of Aerospace Engineering
JF - International Journal of Aerospace Engineering
IS - 1
M1 - 6628131
ER -