Self-calibration method of precision shafting angle measurement error based on multiple reading heads

Run Zhang; Wenhui Bao; Huining Zhao; Huakun Jia; Liandong Yu

doi:10.1117/12.2511826

7 March 2019 Self-calibration method of precision shafting angle measurement error based on multiple reading heads

Run Zhang, Wenhui Bao, Huining Zhao, Huakun Jia, Liandong Yu

Proceedings Volume 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation; 1105328 (2019) https://doi.org/10.1117/12.2511826
Event: 10th International Symposium on Precision Engineering Measurements and Instrumentation (ISPEMI 2018), 2018, Kunming, China

Abstract

With the continuous improvement of equipment measurement accuracy and production efficiency requirements, calibration method with external reference standard can no longer meet the quality and efficiency requirements. In order to solve the online calibration problem and effectively improve the calibration efficiency of the Articulated Arm Coordinate Measuring Machines (AACMMs) in practical application, a self-calibration system of circular grating angle sensor which is applied to joints of the AACMMs was established. Based on the harmonic analysis of the angle measurement error, this paper deduces and analyzes the error suppression principle of the layout of the scanning heads on the calibration result, and establishes a non-uniform layout of the scanning heads to eliminate more and higher order harmonic errors. The simulation and test results show that the self-calibration method using this layout form of multiple reading heads can effectively reduce the measurement angle error without increasing the number of scanning heads, and improve the calibration efficiency and measurement accuracy of AACMMs.

Citation Download Citation

Run Zhang, Wenhui Bao, Huining Zhao, Huakun Jia, and Liandong Yu "Self-calibration method of precision shafting angle measurement error based on multiple reading heads", Proc. SPIE 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation, 1105328 (7 March 2019); https://doi.org/10.1117/12.2511826

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