在线弹道参数滤波与辨识方法分析

为解决基于雷达探测系统的一维弹道修正弹的快速在线弹道参数辨识及精度分析问题,针对阻力环体制的一维弹道修正弹,建立了适配于一维弹道修正弹的飞行控制弹道模型,并基于卡尔曼滤波理论建立了弹道滤波模型,给出了弹道预报的方法。结合扩展卡尔曼弹道滤波模型,计算分析了数据测量精度、基础阻力系数变化等因素对预报弹道落点的影响。研究结果表明:为了提高无控弹道和修正弹道的预报精度,应尽可能准确地获取全弹的阻力系数,并进行若干发炮射试验,通过反复调整预报-校正分段以确定出较佳弹道参数方差,来提高后续弹道预报精度。

Online Trajectory Parameter Filtering and Identification Method Analysis

To estimate the trajectory parameters on line and analyze the accuracy of one-dimension trajectory correction projectiles(ODTCP)based on the radar measurement systems quickly,the flight control model for ODTCP was established. A ballistic filter model was established based on the Kalman filter theory,which was adapted to the ODTCP. A trajectory prediction approach was proposed by using the ballistic filter model. Based on the extended Kalman ballistic filter model,the effects of the accuracy of measurement data and the variations of the aerodynamic parameters on the trajectory prediction were calculated and analyzed. The calculation results show that,to improve the trajectory prediction accuracy of unguided and guided trajectories,the drag coefficient of ODTCP should be obtained as accurately as possible. Gun-firing experiment of several rounds was carried out. The variance of the trajectory states should be tuned elaborately by using the prediction-correction approach to improve the trajectory prediction accuracy.