A convex trajectory planning method for the dive phase of hypersonic vehicles with multiple constraints

This paper investigates the trajectory optimization problem of hypersonic vehicles in the dive phase with both angle of attack and bank angle as control inputs and multiple practical constraints on impact velocity and angle as well as path constraints are all considered. To efficiently and reliably solve such a highly nonlinear problem, a new set of control inputs is defined and a relaxation method for the new controls is proposed. A regularization is employed to guarantee the exactness of the relaxation. Then, a series of convexification methods is used to transform the original nonlinear problem into a convex optimization problem. The simulation results show the effectiveness and performance of the proposed method, with average solution time under 3.0 s and terminal precision achieving less than 0.2 km in position and 4 m/s in velocity.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
Published
2025-12-07
DOI
https://doi.org/10.1177/09544100251406754
Primary Topic
Spacecraft Dynamics and Control
Type
article
Field-Weighted Citation Impact
0.00
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article

A convex trajectory planning method for the dive phase of hypersonic vehicles with multiple constraints

Suiping Zhou, Jiashan Cui, Caihui Wang, Wei Wang et al.
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
Spacecraft Dynamics and Control
article

A convex trajectory planning method for the dive phase of hypersonic vehicles with multiple constraints

Suiping Zhou, Jiashan Cui, Caihui Wang, Wei Wang, Menghan Wang, Daiming Liu
article en

Abstract

This paper investigates the trajectory optimization problem of hypersonic vehicles in the dive phase with both angle of attack and bank angle as control inputs and multiple practical constraints on impact velocity and angle as well as path constraints are all considered. To efficiently and reliably solve such a highly nonlinear problem, a new set of control inputs is defined and a relaxation method for the new controls is proposed. A regularization is employed to guarantee the exactness of the relaxation. Then, a series of convexification methods is used to transform the original nonlinear problem into a convex optimization problem. The simulation results show the effectiveness and performance of the proposed method, with average solution time under 3.0 s and terminal precision achieving less than 0.2 km in position and 4 m/s in velocity.

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
Xidian University (CN)
Openalex Percentile: Top 50%
Spacecraft Dynamics and Control
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