摘要
根据光纤陀螺信号静态漂移的数学模型,提出了一种迭代标定方法,可以精确地补偿光纤陀螺的标度因数和安装偏角误差。考虑光纤陀螺标度因数与温度的非线性关系,采用了BP神经网络进行温度补偿,取得了理想的效果。
Abstract:According to the mathematical model of fiber optic gyro(F()G) ,a step - by - step method is presented to calibrate the scale factor and the installation errors. Considering the non- linear relation between the scale factor and the temperature, the BP neural network is used and the result of this temperature compensation method is very good.
出处
《机械与电子》
2006年第12期27-30,共4页
Machinery & Electronics
关键词
光纤陀螺
标定
温度补偿
神经网络
fiber optic gyro
callbration
temperature compensation
neural network