TY - GEN
T1 - Trajectory and Parameters Integrated Convex Optimization for Aerospace Vehicle Involving Combined-Cycle Propulsion
AU - Liang, Lecheng
AU - Guo, Jianguo
AU - Li, Yahui
AU - Guo, Zongyi
N1 - Publisher Copyright:
© Press of Acta Aeronautica et Astronautica Sinica 2026.
PY - 2026
Y1 - 2026
N2 - Aiming at the trajectory optimization problem for single-stage-to-orbit aerospace vehicles involving combined-cycle propulsion during the ascent phase, this paper proposes an integrated adaptive convex optimization method for trajectory and parameters, which optimizes the ascent trajectory and mode transition points simultaneously. By considering a more comprehensive trajectory model and propulsion model with an integrated airframe-propulsion configuration, the vehicle’s attitude and propulsion control inputs are incorporated to accommodate its specialties and achieve better performance. A climb-dive maneuver is investigated to accommodate the difficulty of transient thrust decline and possibilities of start-up failure or stall of combined-cycle propulsion during the complicated mode transition phase. Numerical simulation results demonstrate that the proposed method achieves superiorities of the balance between solution accuracy and computational efficiency, and the Monte-Carlo execution proves its strong robustness.
AB - Aiming at the trajectory optimization problem for single-stage-to-orbit aerospace vehicles involving combined-cycle propulsion during the ascent phase, this paper proposes an integrated adaptive convex optimization method for trajectory and parameters, which optimizes the ascent trajectory and mode transition points simultaneously. By considering a more comprehensive trajectory model and propulsion model with an integrated airframe-propulsion configuration, the vehicle’s attitude and propulsion control inputs are incorporated to accommodate its specialties and achieve better performance. A climb-dive maneuver is investigated to accommodate the difficulty of transient thrust decline and possibilities of start-up failure or stall of combined-cycle propulsion during the complicated mode transition phase. Numerical simulation results demonstrate that the proposed method achieves superiorities of the balance between solution accuracy and computational efficiency, and the Monte-Carlo execution proves its strong robustness.
KW - Aerospace vehicle
KW - combined-cycle propulsion
KW - mode transition
KW - sequential convex programming
KW - trajectory optimization
UR - https://www.scopus.com/pages/publications/105020241411
U2 - 10.1007/978-981-95-3007-6_33
DO - 10.1007/978-981-95-3007-6_33
M3 - 会议稿件
AN - SCOPUS:105020241411
SN - 9789819530069
T3 - Lecture Notes in Mechanical Engineering
SP - 454
EP - 468
BT - Proceedings of the 2nd Aerospace Frontiers Conference, AFC 2025 - Volume II
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd Aerospace Frontiers Conference, AFC 2025
Y2 - 11 April 2025 through 14 April 2025
ER -