职位(财务)
计算机科学
备份
方位角
可靠性(半导体)
惯性导航系统
控制理论(社会学)
卡尔曼滤波器
模拟
大地测量学
惯性参考系
物理
地质学
人工智能
光学
功率(物理)
数据库
经济
量子力学
控制(管理)
财务
作者
Lin Wang,Wenqi Wu,Guo Wei,Xianfei Pan,Junxiang Lian
出处
期刊:Journal of Navigation
[Cambridge University Press]
日期:2018-06-05
卷期号:71 (6): 1531-1552
被引量:10
标识
DOI:10.1017/s0373463318000322
摘要
A Rotational Inertial Navigation System (RINS) redundant configuration is commonly adopted in high-accuracy marine navigation. Single-axis RINS and dual-axis RINS redundant configurations are good choices with single-axis RINS being a hot backup system, and are trade-offs between position accuracy, reliability as well as cost. However, lack of information fusion between systems is common. Therefore, a novel navigation information fusion method based on an augmented error state Kalman filter is proposed for a RINS redundant configuration. The azimuth gyro drift of a single-axis RINS whose influence cannot be averaged out by single-axis rotation can be estimated, whereby the deterministic position error can be predicted and compensated. Hence, the position accuracy in the event of dual-axis RINS failure can be guaranteed by improving the performance of a single-axis RINS. In addition, an online performance evaluation method is proposed to select the better performance dual-axis RINS as master RINS in a triple RINS configuration, including two sets of dual-axis RINS and a single-axis RINS, which is used in some particularly high reliability applications. Semi-physical simulations and experiments show the proposed method works well.
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