基于控制变量估计的高超声速再入滑翔目标轨迹预测算法

以高超声速再入滑翔目标为研究对象,在对目标机动控制变量进行建模分析的基础上提出了一种轨迹预测算法。首先,基于动力学建模构建了目标跟踪模型,利用气动参数对目标状态向量进行扩维并推导了对应的运动模型。其次,构造了适用于轨迹预测的目标机动控制变量,在不同机动模式下分析了控制变量的变化规律,基于控制变量设计了对应运动方程以及轨迹预测模型。最后,仿真生成了两条轨迹并对所提算法进行了仿真验证,分析了算法性能。仿真结果表明所提轨迹预测算法能够取得较好的预测效果。

Trajectory prediction algorithm for hypersonic reentry gliding target based on control variables estimation

A trajectory prediction algorithm for hypersonic reentry gliding target based on the modeling and analysis of target maneuver control variables is proposed. Firstly, the target tracking model based on the dynamic model is established, the target state vector is augmented with the aerodynamic parameters and the corresponding motion model is deduced. Secondly, the target maneuver control variables suitable for trajectory prediction are constructed, and the change rules of the control variables in variable maneuvering modes are analyzed. Based on the control variables, the corresponding equations of motion and the prediction model are designed. Finally, the simulations are carried out for two trajectories, and the proposed algorithm is verified by simulation to analyze the performance of algorithm. Simulation results indicate that the proposed trajetory prediction algorithm is able to get satisfying prediction effects.