基于交互多模型滤波的剩余时间反演协同制导
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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, 提出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(TIG)理论, 设计一种能够精确求解导弹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, 实现针对静止目标的多弹协同制导; 然后, 针对目标机动策略未知的情况, 利用交互多模型滤波(IMM)的方法实现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(ARIMA)实现对目标轨迹的预测; 接着, 通过引入虚拟坐标系, 将所提出协同制导方法与轨迹预测方法相融合, 进而构建一套完整的机动目标协同拦截制导框架; 最后, 通过仿真结果表明, 所提出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, 验证了所提出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 a maneuvering target based on an interacting multiple model to address the problems of unknown target trajectories and insufficient accuracy of cooperative guidance. First, based on the concept of time-to-go inversion guidance (TIG), an explicit guidance law which can give accurate time-to-go solutions is designed, and the cooperative guidance law for stationary targets are achieved by introducing a biased term. Then, considering the circumstances of the unknown maneuvering target, the position of the target is tracked accurately by using the concept of interactive multiple models (IMMs). Based on the tracking results, the future trajectories of the target can be predicted accurately by using autoregressive integrated moving average models (ARIMA). Furthermore, the proposed cooperative guidance law and proposed prediction method are 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 targets, 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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单永志,郑元勋,王明祥,等.基于交互多模型滤波的剩余时间反演协同制导[J].控制与决策,2026,41(11):2963-2975

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  • 收稿日期:2025-12-11
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  • 在线发布日期: 2026-10-16
  • 出版日期: 2026-11-10
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