IJAT Vol.12 No.5 pp. 622-630
doi: 10.20965/ijat.2018.p0622


Efficient Static and Dynamic Modelling of Machine Structures with Large Linear Motions

Natanael Lanz*,†, Daniel Spescha**, Sascha Weikert**, and Konrad Wegener*

*Institute of Machine Tools and Manufacturing (IWF), ETH Zürich
Leonhardstrasse 21, 8092 Zürich, Switzerland

Corresponding author

**inspire AG, Zürich, Switzerland

November 15, 2017
August 7, 2018
September 5, 2018
machine dynamics, modelling, measurements, control

Mechatronic structures deform under static and dynamic loads. These deformations lead to deviations at the tool center point (TCP), affecting the reachable accuracy and/or productivity of the machines. The scope of this work is the comparison of calculations and measurements of different static and dynamic errors on a dynamic test bench. A reduced-order modelling approach is applied for the test bench modelling. It uses a combination of modal condensation and moment-matching methods with Krylov subspaces. The different modelling steps and requirements are presented. The same model is used for all static and dynamic evaluations presented within this paper. Static deformations, leading to roll and pitch deviations at the TCP of the test bench structure, are simulated using the described modelling methodology and validated by inclination measurements. The modal behavior of the system is investigated by calculation and compared to the measurements at a single axes position. The spatial change of the frequency response functions of the modelled system is investigated further, by calculation and measurement of the velocity open-loop FRFs of one axis for different machine configurations. In addition, a transient trajectory simulation is performed and compared to the Heidenhain KGM and encoder measurements. The large variety of comparisons shows the efficient applicability of the modelling environment MORe.

Cite this article as:
N. Lanz, D. Spescha, S. Weikert, and K. Wegener, “Efficient Static and Dynamic Modelling of Machine Structures with Large Linear Motions,” Int. J. Automation Technol., Vol.12 No.5, pp. 622-630, 2018.
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Last updated on Apr. 19, 2024