@inproceedings{f6da03eeabc04b42a0db4ea2d115da38,
title = "Optimization of laser trackers locations for position measurement",
abstract = "This paper presents an approach optimizing the location of laser tracker system to improve the accuracy of position measurement for heavy-duty machine tools. The approach is based on a physical model of the realistic structure of the whole working space with considering constraints determined by the structure of heavy-duty machine tools. The optimum locations of the laser trackers are searched by minimizing the average error coefficients of all measurement points on the machine tool movement trajectory. Monte Carlo simulation was used to evaluate the measuring uncertainty of the heavy-duty machine tool position measurement with the self-calibration error and repeatability error. The optimized locations were verified in experiment where an improved measurement accuracy of 55\% was observed.",
keywords = "heavy-duty machine tools, laser tracker, location optimization, position measurement",
author = "Han Wang and Zhongxi Shao and Zhaoyan Fan and Zhenyu Han",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018 ; Conference date: 14-05-2018 Through 17-05-2018",
year = "2018",
month = jul,
day = "10",
doi = "10.1109/I2MTC.2018.8409835",
language = "英语",
series = "I2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference: Discovering New Horizons in Instrumentation and Measurement, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "I2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference",
address = "美国",
}