摘要
大量的实验研究已证明温度的变化是影响陀螺仪误差主要因素之一。为了抑制陀螺仪温度变化带来的误差影响,本文首先根据实验数据辨识出器件的温度模型,然后推导出相应的补偿模型进行温度补偿,并采用Kalman滤波技术降低温度测量的噪声,从而提高陀螺仪稳定性。
Large amount of experiment results show that the temperature change is one of the most important factors which affect the gyroscope error. In order to suppress the effect of temperature changes on gyro error, the temperature model is identified from the experiment data and the corresponding temperature compensation model is derived to compensate the temperature change. Kalman filter is used to reduce the temperature measurement noise, which improves the stability of the gyroscope effectively.
出处
《现代导航》
2014年第1期29-32,共4页
Modern Navigation
关键词
捷联惯导
零点偏置
数据建模
温度补偿
KALMAN滤波
Strap-Down Inertial Navigation
Zero Drift
Data Modeling
Temperature Compensation
Kalman Filter
