Modelling feed drives based on natural excitation—improving accuracy

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Reimund Neugebauer - , Chemnitz University of Technology (Author)
  • Steffen Ihlenfeldt - , Chair of Machine Tools Development and Adaptive Controls, Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Arvid Hellmich - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Holger Schlegel - , Chemnitz University of Technology (Author)

Abstract

The current trend in machine tools requires higher efforts for process setup and process monitoring. Hence, digital models gain importance in the field of feed drives. To constantly adjust them to the real counterpart, parameter identification methods, which are suitable to be utilized during operation of the machine, are of primary importance. One of their main drawbacks is that their results strongly depend on the present system excitation. The paper focusses on the accuracy and presents an identification method as well as approaches to reduce excitation dependency. Subsequently, one combination of modules is applied to the NC-axes of a turning-milling-centre.

Details

Original languageEnglish
Pages (from-to)369-372
Number of pages4
JournalCIRP Annals - Manufacturing Technology
Volume66
Issue number1
Publication statusPublished - 2017
Peer-reviewedYes

Keywords

Keywords

  • Feed drive, Identification, Natural excitation