DocumentCode
2311039
Title
Three-dimensional stage self-calibration: A general theory framework
Author
Zhu, Yu ; Hu, Chuxiong ; Hu, Jinchun
Author_Institution
Dept. of Precision Instrum. & Mechanology, Tsinghua Univ., Beijing, China
fYear
2012
fDate
6-8 July 2012
Firstpage
4220
Lastpage
4225
Abstract
In this paper, a general self-calibration theory framework is presented for three-dimensional precision stages to determine the stage error. Four measurement views of a cubic artifact on the three-dimensional precision stage are utilized to provide the symmetry, transitivity and redundance. The firstorder components of the stage error, i.e., the nonorthogonality and the scale difference, are determined through the first three measurement views. And the residual components of the stage error are then figured out by a least-square based calculation law, which completes the stage error determination. Additionally, the parasitic errors related to the artifact and the misalignment errors of all measurement views can all be identified through algebraic manipulations. Computer simulation is finally carried out and the results validate that the proposed algorithm can accurately realize the stage error. The proposed scheme actually provides a framework as a principle to solve the three-dimensional self-calibration problem for practical engineers.
Keywords
calibration; least squares approximations; measurement errors; precision engineering; 3D stage self-calibration; cubic artifact; least square based calculation law; parasitic error; redundance; stage error determination; symmetry; transitivity; Coordinate measuring machines; Measurement uncertainty; Metrology; Noise; Noise measurement; Standards; Vectors; Self-calibration; algorithm; least-square; stage error; three-dimensional metrology stage;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6359186
Filename
6359186
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