校准
激光跟踪器
观测误差
灵敏度(控制系统)
干扰(通信)
计算机科学
补偿(心理学)
转化(遗传学)
准确度和精密度
测量不确定度
计量学
算法
数学
激光器
光学
统计
工程类
物理
电子工程
基因
频道(广播)
生物化学
化学
计算机网络
心理学
精神分析
作者
Jiahao Wu,Wei Liu,Yongkang Lu,Yang Zhang,Shouquan Sun,Junqing Li,Yinghao Zhou
标识
DOI:10.1109/jsen.2023.3246222
摘要
Laser trackers (LTs) are indispensable instruments in large-scale dimensional metrology. Nevertheless, geometric errors are prone to increase in site environments due to the occurrence of mechanical and optical misalignments, which deteriorates the measurement accuracy of the LT. The geometric error parameters are difficult to determine by traditional measuring or calibrating approaches. In this article, a classification calibration method is proposed without any other etalons or instruments that accurately estimate the geometric error parameters in a site environment. First, to determine the environmental sensitivity error parameters, a refractive index correction model in a variable temperature environment is constructed, which performs well in reducing the interference of environmental temperature fluctuations. Subsequently, a spatial measurement network is established to determine two-face sensitivity error parameters using the difference between the frontsight and backsight measurements of the targets. Finally, the two-face nonsensitivity error parameters are solved by minimizing the residuals of the coordinate transformation from each LT station to the reference frame. Indeed, the effects of temperature fluctuation and geometrical misalignments on the measurement accuracy are deeply analyzed, which provide meaningful guidance for calibration and compensation of the geometric errors of the LT. The effectiveness of the proposed method is validated by a series of site experiments. The results show that the length error is reduced to 0.030 mm on average, which is 44% lower than that of the network method.
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