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  • 标题:Using Power Spectral Density Analysis of Accelerometer-Measured Signals to Adjust CNC Machine Tool Cornering Motion Control Parameters
  • 本地全文:下载
  • 作者:Yu-Hua Chu ; Syh-Shiuh Yeh
  • 期刊名称:Engineering Letters
  • 印刷版ISSN:1816-093X
  • 电子版ISSN:1816-0948
  • 出版年度:2019
  • 卷号:27
  • 期号:1
  • 页码:166-174
  • 出版社:Newswood Ltd
  • 摘要:The dominant frequency peak value (PV) of thepower spectral density of accelerometer-measured signals isused to discuss the computer numerical control (CNC) machinetool controller cornering motion control parameters, and then asystematic parameter adjustment procedure is designed tobalance the cornering error and cornering speed of the machinetool cornering motions. Because the dominant frequency PV ofthe power spectral density distribution of the accelerometermeasuredsignals changes owing to the acceleration anddeceleration status of the machine tool cornering motion, thisstudy uses the dominant frequency PV as a reference indicatorto adjust and design the control parameters. The Taguchimethod and analysis of variance are employed to determine theeffects of the control parameters on the machine tool corneringmotions, and then power spectral density analysis is used tobuild the mathematical model of the control parameters fordesigning the best-fitted control parameters. A CNC machinetool is applied to validate the feasibility of the proposed designand the adjustment method for the control parameters. Theresults show that the difference in the cornering error of the testpath is 7%, and the difference in the motion time is 43%; thus,the control parameter setting values can be used to balance thecornering accuracy and cornering speed of the test path.
  • 关键词:Power spectral density; cornering motion; accelerometer; CNC machine tools
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