作　　者： (魏喜庆）; (顾龙飞）; (李瑞康）; (王社阳）;

机构地区： 上海机电工程研究所,上海201109

出　　处： 《航天控制》 2017年第4期62-66,72,共6页

摘　　要： 目标运动轨迹预测有助于拦截弹在中制导准确飞往预测命中点,降低中制导修正偏差消耗的能量,对于高速高机动类目标的拦截至关重要。针对非弹道式高超声速飞行器的周期跳跃运动特点,提出了结合Singer模型的扩展卡尔曼滤波方法对目标运动状态进行估计。利用滤波估计值及双正弦和函数拟合加速度曲线,进一步递推目标运动轨迹。仿真结果表明,提出的方法对高超声速目标具有较好的弹道跟踪和预测精度。 Trajectory prediction is the critical technology for hypersonic vehicle interceptors to guide missile to predictive impact point with lower overload requirement. The extended Kalman filter combined with Singer model is proposed to estimate non-ballistic hypersonic target motion in which trajectory has characterized by cyclic jump motion. Trajectory of hypersonic vehicle is predicted by fitting acceleration with sum of sine func- tions by using filtered data. The experiment results show that fairly good performance is achieved for trajec- tory tracking and prediction.

关 键 词： 高超声速飞行器 自适应 跟踪 轨迹预测