Control Design of Machine Tool Feed Drives Using Mechatronic System Simulation

Roman Binder*, Katrin Ellermann, Harald Sehrschön

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

Machine tools are among the most important components in modern production engineering where cost-effective manufacturing of parts with high geometric accuracy is required. The mechanical components of the machine together with feed drives and digital control loops form a complex mechatronic system which must be designed and optimized simultaneously. A mechatronic system simulation is developed, suitable for mutual optimization of mechanical structure, feed drives and control loops including multi-axis configurations like gantry and main-sub. Simulation results are compared to measurements on real machine tools and show excellent agreement. Furthermore, flatness-based exact feed forward control is used to significantly improve machine tool performance in simulation studies.

Originalspracheenglisch
TitelOptimal Design and Control of Multibody Systems
UntertitelProceedings of the IUTAM Symposium
Redakteure/-innenK. Nachbagauer, A. Held
Herausgeber (Verlag)Springer Science and Business Media B.V.
Seiten120-129
Seitenumfang10
ISBN (Print)978-3-031-49999-9
DOIs
PublikationsstatusVeröffentlicht - 2024
VeranstaltungIUTAM Symposium on Optimal Design and Control of Multibody Systems - Adjoint Methods, Alternatives, and Beyond: IUTAM 2022 - Hamburg, Deutschland
Dauer: 18 Juli 202221 Juli 2022

Publikationsreihe

NameIUTAM Bookseries
Band42
ISSN (Print)1875-3507
ISSN (elektronisch)1875-3493

Konferenz

KonferenzIUTAM Symposium on Optimal Design and Control of Multibody Systems - Adjoint Methods, Alternatives, and Beyond
KurztitelIUTAM 2022
Land/GebietDeutschland
OrtHamburg
Zeitraum18/07/2221/07/22

ASJC Scopus subject areas

  • Tief- und Ingenieurbau
  • Fahrzeugbau
  • Luft- und Raumfahrttechnik
  • Akustik und Ultraschall
  • Maschinenbau

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