Virtual feed drive system of machine tools development and applications in diagnosis and servo-tuning

Ko Fei Lee, Ching Hung Lee*

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

This paper proposes a servo-tuning system for five-axis machine tools using a virtual feed drive system. The feed drive systems were first modeled to include the influence of friction and backlash. The particle swarm optimization (PSO) algorithm was adopted to identify and estimate the optimal system parameters. Therefore, the virtual system can be used to comprehend the influence of servo parameters on machining performance. The proposed approach was verified using the QC20-W wireless ballbar to measure the results of the circular test. The experimental results indicate that our proposed approach can improve the rounding error by 21% and mismatch between the feed axes by 16%. In addition, based on parameter variations, such as variations in bandwidth, resonance frequency, and contour error, we propose methods to diagnose online contouring errors.

Original languageEnglish
JournalAsian Journal of Control
DOIs
StateAccepted/In press - 2020

Keywords

  • diagnosis
  • Feed drive system
  • machine tools
  • particle swarm optimization
  • servo-tuning
  • system identification

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