Authors:
Manuel Norberger
1
;
René Apitzsch
1
;
André Sewohl
1
;
Holger Schlegel
1
and
Matthias Putz
2
Affiliations:
1
Institute for Machine Tools and Production Processes, Chemnitz University of Technology, Reichenhainer Straße 70, 09126 Chemnitz, Germany
;
2
Institute for Machine Tools and Production Processes, Chemnitz University of Technology, Reichenhainer Straße 70, 09126 Chemnitz, Germany, Fraunhofer-Institut forMachine Tools and Forming Technologies, Reichenhainer Straße 70, 09126 Chemnitz, Germany
Keyword(s):
Industry 4.0, Automation Technologies, Virtual Commissioning, Digital Twin, Machine Tool, Drive Data.
Abstract:
The conventional commissioning of a machine offers numerous starting points for the use of modern methods and technologies. With virtual commissioning, the conventional sequential work tasks can be parallelized, which represents an economic advantage. For the virtual commissioning of machines and systems, an appropriate knowledge of automation technology and processes is necessary. This information can be found in the abstracted image, the digital twin. The digital twin is an application-dependent complex entity. Drive control is part of such an application. In the industrial environment, parameterization is usually carried out once on the basis of empirical methods during commissioning. Knowledge and methods from science and research for optimal adjustment are rarely used. In this publication a holistic approach to the implementation of the digital twin including automation technology of a system with an electromechanical feed axis as well as an approach for recording the informatio
n necessary for parameterizing the drive control is shown. The focus is on the ability of the digital twin to process information about the dynamics of the drive system.
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