scholarly journals Self-Calibration of Two-Dimensional Precision Metrology Systems

10.5772/62761 ◽  
2016 ◽  
Author(s):  
Chuxiong Hu ◽  
Yu Zhu
Keyword(s):  
Two Dimensional ◽  
Dimensional Precision ◽  
Self Calibration ◽  
Precision Metrology

Exact algorithm self-calibration of two-dimensional precision metrology stages

1999 ◽  
Vol 21 (2) ◽  
pp. 187 ◽  
Author(s):  
J. Ye ◽  
M. Takac ◽  
C.N. Berglund ◽  
G. Owen ◽  
R.F. Pease
Keyword(s):  
Exact Algorithm ◽  
Two Dimensional ◽  
Dimensional Precision ◽  
Self Calibration ◽  
Precision Metrology

An exact algorithm for self-calibration of two-dimensional precision metrology stages

1997 ◽  
Vol 20 (1) ◽  
pp. 16-32 ◽  
Author(s):  
J. Ye ◽  
M. Takac ◽  
C.N. Berglund ◽  
G. Owen ◽  
R.F. Pease
Keyword(s):  
Exact Algorithm ◽  
Two Dimensional ◽  
Dimensional Precision ◽  
Self Calibration ◽  
Precision Metrology

Positioning error calibration for two-dimensional precision stages via globally optimized image registration

Measurement ◽  
2021 ◽  
pp. 110222
Author(s):  
Jian Wang ◽  
Wenyi Zhao ◽  
Richard Leach ◽  
Long Xu ◽  
Wenlong Lu ◽  
...  
Keyword(s):  
Image Registration ◽  
Two Dimensional ◽  
Positioning Error ◽  
Dimensional Precision ◽  
Error Calibration

The Error Analysis and Compensation of Two-Dimensional Precision Positioning Platform

2012 ◽  
Vol 268-270 ◽  
pp. 1380-1384
Author(s):  
Mu Cheng Zhu ◽  
Xian Peng Luo ◽  
Ya Ping Wang
Keyword(s):  
Error Compensation ◽  
Compensation Effect ◽  
Closed Loop ◽  
Two Dimensional ◽  
Location Error ◽  
Precision Positioning ◽  
Positioning Accuracy ◽  
Loop Control ◽  
Dimensional Precision ◽  
Motion Control Card

Through measuring and analyzing the location error of two-dimensional precision positioning system based on the motion control card, and according to the deficiency of the first error compensation, a strategy that enhance addition based on first error compensation was put forward. That using closed loop control to compensate and correct the location error makes the positioning accuracy improved obviously, and achieves an ideal compensation effect. Under the loading conditions, X axial positioning accuracy reached 11μm, Y axial positioning accuracy reached 10μm.

Self-calibration method of two-dimensional grid plate

2011 ◽  
Author(s):  
Guoqing Ding ◽  
Xin Chen ◽  
Lihua Wang ◽  
Lihua Lei ◽  
Yuan Li
Keyword(s):  
Calibration Method ◽  
Two Dimensional ◽  
Self Calibration ◽  
Grid Plate

Uncertainty analysis of two-dimensional self-calibration with hybrid position using the GUM and MCM methods

2021 ◽  
Author(s):  
Xiaoyue Qiao ◽  
Chengjie Fan ◽  
Xin Chen ◽  
Guoqing Ding ◽  
Ping Cai ◽  
...  
Keyword(s):  
Uncertainty Analysis ◽  
Two Dimensional ◽  
Self Calibration

Square Layout Four-Point Method for Two-Dimensional Profile Measurement and Self-Calibration Method of Zero-Adjustment Error

2018 ◽  
Vol 12 (5) ◽  
pp. 707-713 ◽  
Author(s):  
Hiroki Shimizu ◽  
◽  
Ryousuke Yamashita ◽  
Takuya Hashiguchi ◽  
Tasuku Miyata ◽  
...  
Keyword(s):  
Calibration Method ◽  
Recurrence Equation ◽  
Profile Measurement ◽  
Two Dimensional ◽  
Measuring Point ◽  
Self Calibration ◽  
Displacement Sensors ◽  
Adjustment Error ◽  
Scan Line ◽  
Height Data

An on-machine measurement method, called the square-layout four-point (SLFP) method with angle compensation, for evaluating two-dimensional (2-D) profiles of flat machined surfaces is proposed. In this method, four displacement sensors are arranged in a square and mounted to the scanning table of a 2-D stage. For measuring the 2-D profile of a target plane, height data corresponding to all measuring points are acquired by means of the raster scanning motion. At the same time, pitching data of the first primary scan line and rolling data of the first subsidiary scan line are monitored by means of two auto-collimators to compensate for major profile errors that arise out of the posture error. Use of the SLFP method facilitates connection of the results of straightness-measurements results obtained for each scanning line by using two additional sensors and rolling data of the first subsidiary scan line. Specifically, the height of a measuring point is calculated by means of a recurrence equation using three predetermined height data for adjacent points in conjunction with data acquired by the four displacement sensors. Results of the numerical simulation performed in this study demonstrate higher efficiency of the SLFP method with angle compensation. During actual measurement, however, it is difficult to perfectly align inline the origin height of each displacement sensor. With regard to the SLFP method, zero-adjustment error is defined as the relative height of a sensor’s origin with respect to the plane comprising origins of the other three sensors. This error accumulates in proportion to number of times the recurrence equation is applied. Simulation results containing the zero-adjustment error demonstrate that accumulation of the said error results in unignorable distortion of measurement results. Therefore, a new self-calibration method for the zero-adjustment error has been proposed. During 2-D profile measurement, two different calculation paths – the raster scan path and orthogonal path – can be used to determine the height of a measurement point. Although heights determined through use of the two paths must ideally be equal, they are observed to be different because accumulated zero-adjustment errors for the two paths are different. In view of this result, the zero-adjustment error can be calculated backwards and calibrated. Validity of the calibration method has been confirmed via simulations and experiments.

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