TY - GEN
T1 - Entry Trajectory Optimization for Cross-Domain Morphing Vehicles by Adaptive Trust-Region Sequential Convex Programming
AU - Fang, Zheng
AU - Li, Zheng
AU - Yu, Jianqiao
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - This paper proposes a virtual-control-based adaptive trust-region sequential convex programming (VATSCP) method for the entry trajectory optimization of cross-domain morphing vehicles (CDMVs). By defining new control and state variables, decoupling of state and control in complex dynamics is achieved, avoiding potential jitters in control profiles. To overcome the artificial infeasibility problem in CDMV entry trajectory optimization, virtual control is introduced to relax the aircraft dynamics, and a penalization method to regulate dynamic relaxation is proposed to expand the feasible set and improve the robustness of the algorithm. On this basis, an adaptive trust region strategy is further proposed to dynamically adjust the trust region to improve the convergence speed of the algorithm. The simulation results show that the proposed method is robust and effective. Compared to the fixed configuration aircraft, CDMV has better flight performance.
AB - This paper proposes a virtual-control-based adaptive trust-region sequential convex programming (VATSCP) method for the entry trajectory optimization of cross-domain morphing vehicles (CDMVs). By defining new control and state variables, decoupling of state and control in complex dynamics is achieved, avoiding potential jitters in control profiles. To overcome the artificial infeasibility problem in CDMV entry trajectory optimization, virtual control is introduced to relax the aircraft dynamics, and a penalization method to regulate dynamic relaxation is proposed to expand the feasible set and improve the robustness of the algorithm. On this basis, an adaptive trust region strategy is further proposed to dynamically adjust the trust region to improve the convergence speed of the algorithm. The simulation results show that the proposed method is robust and effective. Compared to the fixed configuration aircraft, CDMV has better flight performance.
KW - Cross-domain morphing vehicle
KW - Entry trajectory optimization
KW - Sequential convex programming
UR - https://www.scopus.com/pages/publications/105037427974
U2 - 10.1007/978-981-95-7113-0_31
DO - 10.1007/978-981-95-7113-0_31
M3 - Conference contribution
AN - SCOPUS:105037427974
SN - 9789819571123
T3 - Lecture Notes in Mechanical Engineering
SP - 420
EP - 436
BT - Proceedings of the 3rd International Conference on Mechanical System Dynamics, ICMSD 2025
A2 - Rui, Xiaoting
A2 - Gillich, Gilbert-Rainer
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Mechanical System Dynamics, ICMSD 2025
Y2 - 23 September 2025 through 27 September 2025
ER -