基于Sage-Husa自适应kalman滤波的磁悬浮陀螺转子信号处理  

Based on Sage-Husa Adaptive Kalman Filtering Maglev Gyro Rotor Signal Processing

作　　者：袁曼飞[1] 靳洁[2] 刘钰[3] 

机构地区：[1]陕西铁路工程职业技术学院,陕西渭南714000 [2]陕西工业职业技术学院,陕西咸阳712000 [3]国家测绘地理信息局第二地形测量队,陕西西安710054

出　　处：《测绘与空间地理信息》2015年第4期59-60,63,共3页Geomatics & Spatial Information Technology

基　　金：国家自然科学基金(41074006)资助

摘　　要：磁悬浮陀螺全站仪是一种测定指向力矩以计算定向成果的高精度测量仪器,其观测数据包括转子电流和定子电流数据,由于转子电流数据对外界干扰具有高度敏感性,因此需要在后期数据处理过程中重点对待。本文利用Sage-Husa自适应kalman滤波对受不同外界环境干扰的转子电流数据进行后期处理,以消除其高频噪声,得到了相对满意的滤波效果。Maglev gyro total station is a kind of high precision measuring instruments by measuring the torque to calculate the directional results,the observation data including the rotor current and the stator current data,as the rotor current data has high sensitivity to the external environment disturbance,so we need focus omit in the later data processing. This paper,by using Sage—Husa adaptive kalman filtering processing rotor current data in the later data processing,in order to eliminate the high frequency noise,finally got relatively satisfactory filtering effect.

关 键 词：转子电流 自适应kalman滤波 高频噪声 

分 类 号：P204[天文地球—测绘科学与技术]