基于卡尔曼滤波的飞行器测控伺服记忆跟踪算法  

A Memory Tracking Algorithm for Spacecraft TT&C Based on Kalman Filtering

作　　者：庞岳峰[1] 陈建友 许文鹏 李俭 Pang Yuefeng;Chen Jianyou;Xu Wenpeng;Li Jian(Jiuquan Satellite Launch Center,Jiuquan 732750,China)

机构地区：[1]酒泉卫星发射中心,酒泉732750

出　　处：《遥测遥控》2018年第4期60-65,共6页Journal of Telemetry,Tracking and Command

基　　金：酒泉卫星发射中心科研基金项目(2015ZKZ004)

摘　　要：针对目标飞行异常情形下遥测伺服设备记忆跟踪精度低的问题,提出一种基于卡尔曼滤波的记忆跟踪算法。该算法利用卡尔曼滤波减小测量数据失真引入的初始误差,并对滤波后速度和加速度值进行记忆外推。外推数据采用Neville插值,保证记忆跟踪时天线能够平滑运行。仿真结果显示,飞行器飞行异常情形下该算法跟踪角度均方根误差较现有的记忆跟踪算法平均减小39%。In order to solve the problem that the telemetry servo equipment has a low memory tracking precision when the target flies unconventionally,this paper proposes a memory tracking algorithm based on Kalman filtering.This algorithm uses the Kalman filtering to decrease the initial error caused by the measurement data distortion,adopts the speed and accelerated speed values after filtering for memory extrapolation,and then applies Neville interpolation algorithm on the extrapolated data to make the antenna operate smoothly during the memory tracking course.The simulation result shows that the root-mean-square error of the tracking angles of the algorithm in this paper can decrease 39 percent compared with that of present memory tracking algorithm.

关 键 词：记忆跟踪 遥测伺服设备 卡尔曼滤波 

分 类 号：TN820[电子电信—信息与通信工程]