文章基本信息

标题：Application of genetic algorithm to multilateration measurement of the volumetric error in machine tools
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作者：Haitong Wang ; Yonglin Cai ; Tiemin Li 等
期刊名称：Advances in Mechanical Engineering
印刷版ISSN：1687-8140
电子版ISSN：1687-8140
出版年度：2016
卷号：8
期号：9
DOI：10.1177/1687814016666450
语种：English
出版社：Sage Publications Ltd.
摘要：The multilateration measurement with laser tracker has become a popular method for measuring the volumetric error of machine tools, owing to its advantages of high efficiency and large measurement range. However, the main problem for the multilateration measurement is that its identification accuracy is unsteady. As the identification accuracy is greatly influenced by the laser tracker positioning, in this article, we aim to optimize the positions of the laser trackers and conduct the optimization based on the genetic algorithm to solve this problem. In order to ensure the feasibility of the optimized measurement system, the position of the laser tracker is constrained by the range of viewing angle of the reflector and the practical measurement environment. Compared to the measurement systems with different laser tracker positioning, the optimized measurement system achieves the best identification accuracy both in the simulation and in the experiment.
关键词：Multilateration measurement; laser tracker; genetic algorithm; uncertainty analysis; volumetric error