倾斜仪
激光跟踪器
卡尔曼滤波器
惯性测量装置
计量学
残余物
计量系统
万向节
惯性导航系统
工程类
控制理论(社会学)
校准
计算机科学
计算机视觉
模拟
惯性参考系
人工智能
激光器
算法
数学
光学
航空航天工程
物理
统计
地图学
地理
天文
控制(管理)
量子力学
作者
Jiarui Lin,Ruikai Xin,Shendong Shi,Zhe Huang,Jigui Zhu
出处
期刊:Measurement
[Elsevier]
日期:2022-11-01
卷期号:204: 112052-112052
被引量:5
标识
DOI:10.1016/j.measurement.2022.112052
摘要
To develop a highly adaptable real-time 6-degree-of-freedom (6-DOF) measurement system for large precision engineering, high precision and good dynamic performance are the key problems to be solved. In this paper, a novel 6-DOF total measurement system is proposed, which is composed of a vision-inclination combining pose measurement target sensor (PMTS), a built-in strapdown inertial navigation system (SINS) and a cooperative laser tracker as the base station. And a precise mathematical model is established by the measured data from laser tracker, PMTS and SINS to the 6-DOF variables output. Meanwhile, a turntable-based calibration method for the PMTS and the inertial measurement unit (IMU) is proposed. More importantly, to solve the fatal problem that the inclinometer failed under dynamic conditions, a Fault-tolerant Kalman filter (FKF) based on residual chi-square test is introduced. Finally, comparative experiment with Leica T-MAC is conducted to verify the precision and dynamic performance of proposed methods.
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