TY - GEN
T1 - Trajectory Optimization for Hypersonic Gliding Vehicle Using Lossless Convexification
AU - Shi, Zhenghao
AU - Li, Xiaosong
AU - Zhang, Lei
AU - Liang, Zixuan
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - This paper proposes a new trajectory optimization method using lossless convexity to address the multi-constrained trajectory optimization problem of hypersonic gliding vehicle, considering the nonlinear time-varying characteristics of aerodynamic parameters. Firstly, the dynamics and constraint models of the vehicle are established, and the trajectory optimization problem is described. Then, a sequential convex optimization method using lossless convex processing is proposed. In order to describe the nonlinear time-varying drag coefficient accurately, a new convexity method is used in the process of optimization. New variables are defined, and the nonlinear terms in the vehicle dynamics are processed by convexification method. On this basis, the sequential convex optimization architecture has been used to address the optimization problem. Finally, combined with the mission scenario of hypersonic gliding vehicle, the trajectory optimization method based on lossless convexity processing is simulated. The result shows that lossless convexity method could get more reasonable flight path than the linearization method, and has higher solving efficiency.
AB - This paper proposes a new trajectory optimization method using lossless convexity to address the multi-constrained trajectory optimization problem of hypersonic gliding vehicle, considering the nonlinear time-varying characteristics of aerodynamic parameters. Firstly, the dynamics and constraint models of the vehicle are established, and the trajectory optimization problem is described. Then, a sequential convex optimization method using lossless convex processing is proposed. In order to describe the nonlinear time-varying drag coefficient accurately, a new convexity method is used in the process of optimization. New variables are defined, and the nonlinear terms in the vehicle dynamics are processed by convexification method. On this basis, the sequential convex optimization architecture has been used to address the optimization problem. Finally, combined with the mission scenario of hypersonic gliding vehicle, the trajectory optimization method based on lossless convexity processing is simulated. The result shows that lossless convexity method could get more reasonable flight path than the linearization method, and has higher solving efficiency.
KW - Hypersonic Vehicle
KW - Lossless Convexification
KW - Sequential Convex Optimization
KW - Trajectory Optimization
UR - http://www.scopus.com/inward/record.url?scp=105000687800&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-2264-1_43
DO - 10.1007/978-981-96-2264-1_43
M3 - Conference contribution
AN - SCOPUS:105000687800
SN - 9789819622634
T3 - Lecture Notes in Electrical Engineering
SP - 450
EP - 459
BT - Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 17
A2 - Yan, Liang
A2 - Duan, Haibin
A2 - Deng, Yimin
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Guidance, Navigation and Control, ICGNC 2024
Y2 - 9 August 2024 through 11 August 2024
ER -