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  • 标题:A novel geometric error identification and prediction approach
  • 本地全文:下载
  • 作者:Jinwei Fan ; Peitong Wang ; Zhuang Li
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2022
  • 卷号:363
  • 页码:1-4
  • DOI:10.1051/matecconf/202236301007
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:This paper proposed an integrated geometric error identification and prediction method to solve the uncertainty problem of the PDGEs of rotary axis. First, based on homogeneous transform matrix (HTM) and multi-body system (MBS) theory, The transfer matrix only considering the C-axes rotated is derived to the position error model. Then a geometric errors identification of rotary axis is introduced by measuring the error increment in three directions. Meanwhile the geometric errors of C-axis are described as truncated Fourier polynomials caused by fitting discrete values. Thus, The geometric error identification is converted into the function coefficient. Finally, the proposed new prediction and identification model of PDGEs in the global frame are verified through simulation and experiments with double ball-bar tests.
  • 关键词:Geometric error identification;Prediction;Rotary axis;Double ball bar;Five-axis machine tool
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