摘要
为了提高压电陀螺的精度,提出了一种适合压电陀螺的随机漂移误差建模方案。该方案由与时间相关的趋势项拟和、基于最小自相关检验准则的ARMA模型辨识和基于卡尔曼滤波的模型适用性检验三部分组成,具有自主性强,准确性好,便于计算机实现等特点。试验结果表明了该压电陀螺的随机漂移误差建模方案的有效性和正确性。
In order to obtain an better output of the piezoelectric gyroscope, a new identification and modeling method of random drift for piezoelectric gyroscope is proposed. After subtracting the time dependent mean of the measurements for the piezoelectric gyroscope, the data was used to determine the autoregressive moving average （ARMA） model parameters by the LAC testing criterion of model fitting and its reeursive algorithm. Allan Variance Analysis and kalman filter method were used to test the efficiency of the suggested ARMA models. This method is suitable for real-time application. The results show that the implementation of the proposed method improves the output of the piezoelectric gyroscope by 10 times
出处
《压电与声光》
CSCD
北大核心
2009年第1期27-30,共4页
Piezoelectrics & Acoustooptics
关键词
陀螺仪
滤波
随机过程
gyroscopes filtering
stochastic process
