惯性测量装置
异步通信
校准
计算机科学
可观测性
控制理论(社会学)
加速度计
惯性导航系统
卡尔曼滤波器
旋转(数学)
惯性参考系
扩展卡尔曼滤波器
物理
数学
计算机视觉
人工智能
电信
应用数学
控制(管理)
量子力学
操作系统
作者
Jiachong Chang,Shiwei Fan,Ya Zhang,Jingchun Li,Jianbo Shao,Dingjie Xu
标识
DOI:10.1088/1361-6501/acb9ad
摘要
Abstract There is a time asynchronous problem with the output signals between each inertial sensor in an actual high-precision fiber optic gyro inertial measurement unit (FOG-IMU), which reduces the velocity update accuracy of the strap-down inertial navigation system in the actual applications. Firstly, the velocity error formulas are derived in the coordinate navigation system considering three time asynchronous errors between the three-axis accelerometers and gyros. Then an error-state Kalman filter is designed with respect to the time asynchronous parameters measurement model in angular dynamic environments. Afterward, a single-axis continuous rotation scheme is developed to calibrate the time asynchronous parameters. In particular, a simple observability analysis model is proposed to verify the rationality of the calibration scheme. Furthermore, the time asynchronous parameters are calculated effectively based on the proposed indirect calibration scheme. Finally, the proposed method is verified effectively through simulations and turntable experiments, which can significantly reduce the measurement errors of high-precision FOG-IMU. As a result, compared with the traditional three-parameter direct calibration method, the eastward and northward velocity errors are reduced by 7.01% and 2.48%, respectively.
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