光纤陀螺随机误差建模的实验研究OA北大核心CSCDCSTPCD
Experimental Study on Random Error Modeling for Fiber Optic Gyros
为提高光纤陀螺精度,需要对其随机误差进行精确建模.以VG941-3AM微型精密光纤陀螺仪为实验研究对象,进行了数据采集、预处理和平稳性检验.将基于残差序列最小自相关原理的LAC(least-autocorrelation)准则及其递推算法,应用于光纤陀螺随机误差模型的辨识.建立了ARMA模型的状态方程和观测方程,设计了Kalman滤波器.实验结果证明了算法的有效性和准确性,处理后的光纤陀螺随机误差减小了95～97%.
In order to improve the precision of fiber optic gyro (FOG), the random error model of FOG should be established accurately. VG941-3AM micro precision fiber optic gyros were chosen as experimen-tal subjects. Data acquisition, pretreatment and stationarity test were carried out. Based on the least-auto-correlation principle of residual sequence, the least-autocorrelation (LAC) criterion and its recursive algo-rithm were applied to the identification of …查看全部>>
方靖;尚捷;顾启泰
清华大学精密仪器与机械学系,北京,100084清华大学精密仪器与机械学系,北京,100084清华大学精密仪器与机械学系,北京,100084
航空航天
光纤陀螺随机误差ARMA模型最小自相关准则
fiber optic gyro (FOG)random errorARMA modelleast-autocorrelation (LAC) criterion
《传感技术学报》 2008 (9)
1514-1518,5
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