再入飞行器弹道参数自适应稳健估计方法  

The Adaptive Robust Estimate Method for Reentry Vehicle Trajectory Parameters

作　　者：肖龙远[1] 曾超[1] 

机构地区：[1]中国工程物理研究院电子工程研究所,四川绵阳621900

出　　处：《弹道学报》2007年第3期31-33,共3页Journal of Ballistics

摘　　要：建立了飞行器再入段动力学模型.通过对再入过载值的融合,避开了对弹道系数和大气密度的近似,使得再入动力学模型更加准确;通过对自适应Kalman滤波算法的简化,得到了再入弹道参数的精确、稳健的估计.仿真算例表明该方法可以在系统建模误差、传感器测量噪声模型未知的情况下得到相当好的结果.Dynamic model of the reentry vehicle trajectory was created. According to fusing the over loading coefficient, approximate of the trajectory coefficient and air density was avoided so that the dynamic model of the reentry process become more precise. Based on the simplification of the robust adaptive Kalman filter, the precise reentry trajectory parameter can be more accurately estimated. The simulation shows that the method is effective. By this method, the better results can be obtained under the conditions that the modelling error and measurement model of sensor noise are unknown.

关 键 词：再入飞行器 自适应 KALMAN滤波 过载 弹道系数 

分 类 号：V412.4[航空宇航科学与技术—航空宇航推进理论与工程] TP273.2[自动化与计算机技术—检测技术与自动化装置]