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Institute for Machine Tools and Production Processes, Chemnitz University of Technology, Reichenhainer Straße 70, 09126 Chemnitz, Germany

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1 Papers

A Holistic Approach for the Development of a Digital Twin Focused on Commissioning and Control of Electromechanical Feed Axes

Topics: Intelligent Design and Manufacturing; Manufacturing Systems Engineering; Systems Modeling and Simulation; Systems Modeling and Simulation; Performance Evaluation and Optimization

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

Digital Object Identifier: 10.5220/0009884707690774

Proceedings of ICINCO 2020, ISBN: 978-989-758-442-8

Quick 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 information 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.