Modelling feed drives based on natural excitation—improving accuracy
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
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 language | English |
|---|---|
| Pages (from-to) | 369-372 |
| Number of pages | 4 |
| Journal | CIRP Annals - Manufacturing Technology |
| Volume | 66 |
| Issue number | 1 |
| Publication status | Published - 2017 |
| Peer-reviewed | Yes |
Keywords
ASJC Scopus subject areas
Keywords
- Feed drive, Identification, Natural excitation