基于交互多模型滤波的剩余时间反演协同制导
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1.中国兵器工业集团航空弹药研究院;2.哈尔滨工业大学

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TJ765

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Time-to-go inversion cooperative guidance law based on interacting multiple model
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    摘要:

    针对机动目标拦截任务中目标轨迹难以预测、多弹协同制导精度不足的问题,本文提出了一种基于交互多模型滤波的新型协同制导方法。首先,基于剩余时间反演制导(Time-to-Go Inversion Guidance, TIG)理论,设计了一种能够精确求解弹药飞行时间的显式制导律,并通过在制导律中引入偏置项的方式,实现了针对静止目标的多弹协同制导。而后,针对目标机动策略未知的情况,利用交互多模型滤波(Interactive Multiple Model, IMM)的方法实现了对目标位置的精确跟踪,在此基础上利用自回归移动平均模型(Autoregressive Integrated Moving Average, ARIMA)实现了对目标轨迹的预测。进一步地,通过引入虚拟坐标系,将所提出的协同制导方法与轨迹预测方法相融合,进而构建了一套完整的机动目标协同拦截制导框架。仿真结果表明,本文所提方法在初始航向误差较大和目标存在未知机动的情况下,仍然能够实现多弹协同拦截,证明了方法在轨迹预测和时间协同精度方面的优越性。

    Abstract:

    This paper proposes a new cooperative guidance law for intercepting maneuvering target based on interacting multiple model to address the problems of unknown target trajectories and insufficient accuracy of cooperative guidance. Firstly based on the concept of time-to-go inversion guidance, a explicit guidance law which can give accurate time-to-go solutions was designed, and the cooperative guidance law for stationary targets were achieved by introducing a biased term. Additionally, considering the circumstances of the unknown maneuvering target, the position of the target is tracked accurately by using the concept of interactive multiple models, based on the tracking results, the future trajectories of the target can be predicted accurately by using autoregressive integrated moving average models. Furthermore, the proposed cooperative guidance law and proposed prediction method were incorporated to construct a cooperative guidance method for intercepting maneuvering target. Numerical simulations demonstrate that the proposed guidance law can intercept maneuvering targets successfully even though in the circumstances of large initial heading errors or unknown maneuvering target, which validate the effectiveness of the proposed cooperative guidance framework against maneuvering targets and the accuracy of the proposed prediction method in predicting target maneuvering intentions.

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历史
  • 收稿日期:2025-12-11
  • 最后修改日期:2026-04-15
  • 录用日期:2026-04-17
  • 在线发布日期: 2026-05-07
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