宇航学报

宇航学报 ›› 2017, Vol. 38 ›› Issue (2): 123-130.doi: 10.3873/j.issn.1000-1328.2017.02.003

• 飞行器设计与力学 • 上一篇    下一篇

一种基于气动力模型的高超声速滑翔目标跟踪算法

张凯，熊家军，韩春耀，兰旭辉   

  1. 1. 空军预警学院研究生管理大队，武汉430019；2. 空军预警学院四系，武汉430019
  • 收稿日期:2016-08-14 修回日期:2016-11-21 出版日期:2017-02-15 发布日期:2017-02-25

A Tracking Algorithm of Hypersonic Glide Reentry Vehicle via Aerodynamic Model

ZHANG Kai, XIONG Jia jun, HAN Chun yao, LAN Xu hui   

  1. 1. Department of Graduation Management, Air Force Early Warning Academy, Wuhan 430019, China;
    2. No.4 Department, Air Force Early Warning Academy, Wuhan 430019, China
  • Received:2016-08-14 Revised:2016-11-21 Online:2017-02-15 Published:2017-02-25

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摘要：

针对传统跟踪方法对高超声速滑翔目标（HGRV）进行状态估计时存在较大误差的问题，提出一种基于气动力模型的目标跟踪算法。首先在弹道坐标系（VTC）中推导了目标气动加加速度模型，分析模型各分量对目标运动状态的影响。分别对纵向和横向机动模型进行了研究，得出横向机动是跟踪的主要难点的结论。然后对传统气动力模型进行改进，将转弯力参数与爬升力参数之间存在的先验信息引入高阶状态向量。同时，考虑不同飞行模式下机动频率的变化，构建基于气动力模型的交互多模型（IMM）算法。仿真表明，所提算法精度显著优于针对该类目标的其他跟踪算法，特别是当目标发生机动时，该算法具有更强的适应性和鲁棒性。

关键词: 高超声速飞行器, 机动目标跟踪, 气动力模型, 扩展卡尔曼滤波（EKF）, 交互多模型

Abstract:

Aiming at the problem of large errors in the state estimation of hypersonic gliding reentry vehicle (HGRV) by traditional tracking algorithms, a tracking algorithm via aerodynamic model is proposed. Firstly, aerodynamic Jerk model of the target is deduced in Velocity-turn-climb (VTC) coordinate system, and the influence of each component of the model on the target motion is analyzed. Secondly, the climb and turn maneuver models are researched respectively, and it is concluded that latter is the major difficulty in tracking. Then, the aerodynamic model is improved by introducing a priori information between the climb force parameter and the turn force parameter into the high order state vector. At the same time, an interacting multiple model (IMM) algorithm based on the aerodynamic model is constructed, considering the change of maneuver frequency in different flight modes. Simulation results show that the proposed algorithm outperforms other tracking algorithms, and it has stronger adaptability and robustness when the target is maneuvering especially.

Key words: Hypersonic vehicle, Maneuvering target tracking, Aerodynamic model, Extended Kalman filter(EKF), Interacting multiple model

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