光电稳定平台中陀螺随机漂移的处理方法  

Processing of gyro drift for opto-electronic stabilization platform

作　　者：朱华征[1] 周晓尧[1] 张文博[1] 范大鹏[1] 

机构地区：[1]国防科学技术大学机电工程与自动化学院,长沙410073

出　　处：《中国惯性技术学报》2009年第2期225-230,共6页Journal of Chinese Inertial Technology

基　　金：国防预研项目资助(10401020202a)

摘　　要：在详细分析陀螺随机漂移对光电稳定平台精度影响的基础上,提出了Allan方差与功率谱相结合的分析和评价标准,采用了时间序列分析法进行建模。针对光电稳定平台不同的应用环境,分别比较了陀螺随机漂移的处理方法。实验证明,前向线性滤波在中高频段的噪声滤除方面,要优于低通滤波器;同时在保留低频段的有用信号和了解噪声特性方面,要优于卡尔曼滤波;而且在实时的在线应用方面,要优于小波滤波。结果表明:前向线性滤波适合于高带宽光电稳定平台系统的实时在线应用。In order to analyze the influence of gyro random drift on opto-electronic stabilization platform accuracy, the Allan variance and power spectrum judgment standards were put forward, in which the time series analysis method was used to establish the model. The FLP filter and wavelet filter were compared based on the applications of stabilization platform, digital low-pass filter, Kalman filter. The experiment proves that the FLP filter is superior to the low-pass filter in filtering the noise at medium and high frequency bands, and is superior to the Kalman filter in keeping useful signal at low frequency bands and finding out the noise characteristics. The results show that FLP filter is suitable for real-time on-line applications of high bandwidth opto-electronic stabilization platform.

关 键 词：光电稳定平台 陀螺 随机漂移 ALLAN方差 滤波 

分 类 号：U666.1[交通运输工程—船舶及航道工程]