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再入滑翔飞行器速度约束减速制导方法

陈俊谷1,刘俊辉1*,单家元1,2,王佳楠1,2   

  1. 1.北京理工大学 宇航学院; 2.北京理工大学 陆空基信息感知与控制全国重点实验室
  • 收稿日期:2025-03-21 修回日期:2025-05-21
  • 基金资助:
    国家自然科学基金项目(62473043、62103049、62273043);山东省重点研发计划项目(2020CXGC011502)

Speed Constrained Deceleration Guidance Method for Reentry Glide Vehicle

CHEN Jungu1,LIU Junhui1*, SHAN Jiayuan1,2, WANG Jianan1,2   

  1. 1. School of Aerospace Engineering, Beijing Institute of Technology; 2. National Key Laboratory of Land and Air Based Information Perception and Control, Beijing Institute of Technology
  • Received:2025-03-21 Revised:2025-05-21

摘要: 针对再入滑翔飞行器末制导阶段速度控制精度受气动参数偏差等不确定性影响较大的问题,提出一种具有鲁棒性的新型偏置比例导引速度约束制导律,在满足命中精度的同时实现再入滑翔飞行器的终端速度约束。在附加攻角减速控制策略的基础上,建立飞行速度与理想速度曲线误差动力学模型。引入固定时间收敛误差动力学理论,并考虑飞行过程中的气动参数偏差导致的模型不确定性,推导基于固定时间收敛误差动力学的速度约束制导律,并证明模型不确性有界下速度误差动力学的稳定性。对新提出的速度约束制导律进行数值仿真,验证了所提制导律的性能,并通过蒙特卡洛测试验证了其对初始参数偏差与气动参数偏差的鲁棒性。

关键词: 再入滑翔飞行器, 速度约束制导律, 偏置比例导引, 误差动力学

Abstract: Focusing on the speed control degradation problem during the terminal guidance phase of reentry gliding vehicles due to model uncertainty, such as aerodynamic parameter perturbations, a novel robust bias proportional navigation guidance law with speed constraint is proposed. This guidance law can satisfy the accuracy requirements for target interception and terminal speed constraint of the reentry glide vehicle, and it has robustness against uncertainties such as perturbations in aerodynamic parameters. Based on the principle of additional angle of attack deceleration, the error dynamics between flight speed and an ideal speed curve is established. By introducing the theory of fixed-time convergence error dynamics and considering the model uncertainty caused by the perturbations of aerodynamic parameters during the flight, a speed constraint guidance law based on the fixed-time convergence error dynamics is derived. It is also proven that the speed error dynamic is converged under the bounded model uncertainty. Numerical simulations are conducted to validate the performance of the proposed guidance law, and its robustness against initial parameter and aerodynamic parameter perturbations is also verified through Monte Carlo tests.

Key words: reentry glide vehicle, speed constraint guidance law, bias proportional navigation guidance, error dynamic

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