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弹箭与制导学报 >

2025 , Vol. 45 >Issue 3: 351 - 358

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2025.03.012

综述、总体、动力、毁伤、测试及其他

高超声速滑翔飞行器协同轨迹快速规划方法

  • 闫雨潭 ,
  • 栗金平 ,
  • 常江 ,
  • 李昊远 ,
  • 潘瑞
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  • 西安现代控制技术研究所,陕西 西安 710065
栗金平(1984—),男,正高级工程师,硕士。E-mail:

闫雨潭(2000—),男,硕士研究生。E-mail:

收稿日期: 2024-09-20

  网络出版日期: 2025-07-09

收起

Rapid Planning Method for Cooperative Trajectory of Hypersonic Gliding Aircraft

  • YAN Yutan ,
  • LI Jinping ,
  • CHANG Jiang ,
  • LI Haoyuan ,
  • PAN Rui
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  • Xi'an Mordern Control Technology Research Institute,Xi'an 710065,Shaanxi, China

Received date: 2024-09-20

  Online published: 2025-07-09

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摘要

针对高超声速滑翔飞行器的协同制导问题,提出了基于伪谱法和序列凸优化的双级协同轨迹快速规划方法。首先建立了高超声速滑翔飞行器动力学与运动学模型;其次考虑再入滑翔段多种过程约束和终端约束,利用伪谱法对飞行器复杂运动学模型进行离线求解,得到满足相关协同指标的轨迹;然后在离线优化轨迹的基础上,采用改进的序列凸优化算法,自适应更新信赖域半径,在保证求解精度的前提下,提高算法收敛速度,实现协同轨迹的快速规划;最后通过数学仿真对提出的方法进行验证。结果表明,该方法在飞行器初始条件和模型不确定的状态下,能够实现协同飞行,且时间协同误差小于0.5 s,单次轨迹优化平均CPU耗时3.67 s,具有较好的工程应用潜力。

关键词： 高超声速滑翔飞行器; 序列凸优化; 协同轨迹规划; 信赖域

本文引用格式

闫雨潭 , 栗金平 , 常江 , 李昊远 , 潘瑞 . 高超声速滑翔飞行器协同轨迹快速规划方法[J]. 弹箭与制导学报, 2025 , 45(3) : 351 -358 . DOI: 10.15892/j.cnki.djzdxb.2025.03.012

Abstract

A two-stage cooperative trajectory fast planning method based on pseudo-spectral method and sequence convex optimization is proposed for the cooperative guidance problem of hypersonic gliding vehicle. First, a hypersonic gliding vehicle dynamics and kinematics model is established. Secondly, considering multiple path constraints and terminal constraints in the re-entry gliding section, the pseudo-spectral method is used to solve the complex kinematic model of the vehicle offline, and trajectories that satisfy the relevant cooperative indexes are obtained. Then, on the basis of the offline optimized trajectories, an improved sequential convex optimization algorithm is adopted to adaptively update the radius of the trust region, which improves the convergence speed of the algorithm and realizes the rapid planning of the synergistic trajectories under the premise of guaranteeing the accuracy of the solution. Finally, the proposed method is verified by mathematical simulation, and the results show that the method can realize cooperative flight under the state of uncertainty of the initial conditions and model of the vehicle, and the time cooperative error is less than 0.5 s, and the average CPU time of a single trajectory optimization is 3.67 s, which has a good potential for engineering application.

Key words： hypersonic gliding vehicle; sequential convex optimization; cooperative trajectory planning; trust-region

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