A method, system, and apparatus for reentry recoverable vehicle trajectory optimization

By linearizing and convexizing the trajectory optimization problem of reentry reusable aircraft, and combining the confidence region and virtual control variables, the problems of low solution efficiency and poor robustness in traditional methods are solved, and efficient and stable trajectory optimization is achieved.

CN122411501APending Publication Date: 2026-07-17PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
Filing Date
2026-05-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional methods struggle to find the global optimum when optimizing the trajectory of reentry vehicles, consume significant computational resources, and exhibit poor robustness, failing to meet the timeliness requirements of online real-time trajectory planning.

Method used

The sequential convex optimization method is used to linearize the nonlinear dynamic model, introduce the confidence region and virtual control variables, and iteratively solve the optimal landing trajectory of the reentry reusable spacecraft.

Benefits of technology

It significantly improves solution efficiency and reliability, is suitable for offline fine trajectory design of reentry reusable aircraft, and lays the technical foundation for online real-time trajectory replanning.

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Abstract

本发明公开了一种再入可回收飞行器轨迹优化方法、系统和设备，涉及飞行器轨迹优化技术领域，针对现有方法求解困难、计算效率低的问题，本发明建立再入可回收飞行器六自由度轨迹优化问题模型；对优化问题模型进行线性化与凸化处理，得到凸化后的线性优化问题模型；基于时间归一化、置信域约束和虚拟控制量，对凸化后的线性优化问题模型进行离散化处理，构建并求解凸优化子问题模型，获取当前迭代的轨迹解；采用序列迭代方式，以当前迭代的轨迹解作为参考轨迹进行迭代直至收敛，得到最终优化轨迹。本发明能够高效可靠地处理强非线性、非凸约束的轨迹优化问题，显著提升求解速度和收敛稳定性，适用于再入可回收飞行器的离线轨迹设计与在线实时规划。
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