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  • 标题:Dimensional Accuracy Enhancement in CNC Batch Grinding through Fractional Order Iterative Learning Compensation
  • 本地全文:下载
  • 作者:Tiantian Chen ; Xincheng Tian ; Yan Li
  • 期刊名称:Advances in Mechanical Engineering
  • 印刷版ISSN:1687-8140
  • 电子版ISSN:1687-8140
  • 出版年度:2014
  • 卷号:2014
  • DOI:10.1155/2014/260420
  • 出版社:Sage Publications Ltd.
  • 摘要:This paper presents a systematic method to compensate for dimensional errors of workpieces machined in computer numerical control (CNC) batch grinding process. The dimensional error precompensation scheme includes a fractional order compensator, automatic dimensional measuring device, and a comparator. A practical fractional order differential plus low-pass iterative learning approach is used to update the compensation for the next workpiece. An incremental order updating law is proposed for the fractional system order identification, which plays a fundamental role to optimize the performance of grinding process. Then the error compensated numerical control (NC) program is fed to the machine tool for subsequent grinding. Several illustrated results show the effectiveness of the above strategy.
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