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Journal of Projectiles, Rockets, Missiles and Guidance >

2025 , Vol. 45 >Issue 5: 943 - 952

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2025.05.038

Academic article

Research on the Construction Method of Trajectory Database for Space Launch

  • GUO Jingjing ,
  • WANG Jianhua , * ,
  • YU Moyao ,
  • XU Peng ,
  • FU Jiawei
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  • Department of Aerospace Science and Technology, Space Engineering University, Beijing 101416, China

Received date: 2025-05-20

  Online published: 2025-11-28

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Abstract

To enhance the responsiveness and adaptability of trajectory generation for aerospace launch missions, key mission factors are analyzed to establish a trajectory library, and a trajectory matching and rapid generation method based on similarity metrics is proposed. Addressing the inefficiency caused by the curse of dimensionality in traditional grid methods and the strong initial-value dependence, local optima convergence issues of conventional optimization approaches, Latin Hypercube Sampling (LHS) is employed to generate multi-dimensional parameter combinations. A trajectory library covering multi-dimensional environmental variables is constructed, reducing computational complexity in high-dimensional library development. A hybrid optimization framework integrating an improved Differential Evolution (DE) algorithm and Sequential Quadratic Programming (SQP) is developed for trajectory planning. By fusing DE’s global search capability with SQP’s local rapid convergence, unstable convergence and poor solution quality of traditional gradient-based methods under complex constraints are effectively resolved. For aerospace launch missions, a similarity matching criterion is designed to enable rapid retrieval of analogous missions and trajectory invocation. Numerical simulations demonstrate that the proposed method outperforms conventional strategies in optimization quality and response efficiency, with trajectory generation time significantly shortened, providing reliable support for rapid-response launch operations.

Key words： trajectory database; latin hypercube sampling; differential Evolution algorithm; sequential quadratic programming

Cite this article

GUO Jingjing , WANG Jianhua , YU Moyao , XU Peng , FU Jiawei . Research on the Construction Method of Trajectory Database for Space Launch[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2025 , 45(5) : 943 -952 . DOI: 10.15892/j.cnki.djzdxb.2025.05.038

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