TY - JOUR
T1 - Integrated aerodynamic-trajectory optimization method considering stability constraints of air-breathing hypersonic vehicle
AU - Wang, Qing
AU - Cheng, Shaowen
AU - Qu, Feng
AU - Du, Zhouhua
AU - Ji, E.
N1 - Publisher Copyright:
© 2026 Elsevier Masson SAS.
PY - 2026/10
Y1 - 2026/10
N2 - The typical feature of an air-breathing hypersonic vehicle is the integrated design of the airframe and propulsion systems, which introduces a coupling challenge among aerodynamics, propulsion, control, and flight trajectory. In this study, an integrated aerodynamic-trajectory optimization method incorporating stability constraints is proposed to address this issue. The proposed method adopts a two-layer optimization framework. The outer-layer optimization focuses on configuration parameters, while the inner-layer optimization deals with flight trajectory. In the optimization process, static stability is taken into account as a constraint condition. This integrated method enables mission-level co-optimization of airframe geometry and flight trajectory, achieving synergistic improvements in overall system performance. Meanwhile, to validate this method, a Sänger-type two-stage-to-orbit (TSTO) vehicle was investigated with the minimum climb-phase fuel consumption as the optimization objective. The key design variables included the parameters of the integrated forebody-inlet and aftbody-nozzle. Optimization results demonstrate a 13.6% reduction in fuel consumption of the climb phase compared to baseline configuration, which effectively improves the climbing performance of the vehicle and validates the optimization framework in this paper.
AB - The typical feature of an air-breathing hypersonic vehicle is the integrated design of the airframe and propulsion systems, which introduces a coupling challenge among aerodynamics, propulsion, control, and flight trajectory. In this study, an integrated aerodynamic-trajectory optimization method incorporating stability constraints is proposed to address this issue. The proposed method adopts a two-layer optimization framework. The outer-layer optimization focuses on configuration parameters, while the inner-layer optimization deals with flight trajectory. In the optimization process, static stability is taken into account as a constraint condition. This integrated method enables mission-level co-optimization of airframe geometry and flight trajectory, achieving synergistic improvements in overall system performance. Meanwhile, to validate this method, a Sänger-type two-stage-to-orbit (TSTO) vehicle was investigated with the minimum climb-phase fuel consumption as the optimization objective. The key design variables included the parameters of the integrated forebody-inlet and aftbody-nozzle. Optimization results demonstrate a 13.6% reduction in fuel consumption of the climb phase compared to baseline configuration, which effectively improves the climbing performance of the vehicle and validates the optimization framework in this paper.
KW - Hypersonic vehicle
KW - Multidisciplinary design optimization
KW - Trajectory optimization
KW - Two-stage-to-orbit
UR - https://www.scopus.com/pages/publications/105035696021
U2 - 10.1016/j.ast.2026.112326
DO - 10.1016/j.ast.2026.112326
M3 - 文章
AN - SCOPUS:105035696021
SN - 1270-9638
VL - 177
JO - Aerospace Science and Technology
JF - Aerospace Science and Technology
M1 - 112326
ER -