Automatic preload adaptation for rack-and-pinion drives to maximize performance and energy efficiency

Abstract Electrically preloaded rack-and-pinion drives are typically utilized in machine tools to precisely move heavy loads over long travel distances. In the state of the art, the preload torque is commonly set to a constant value during commissioning. This poses a conflict of objectives between maximizing performance and minimizing energy consumption. To resolve this, this publication presents a novel approach to automatically adapt the preload torque during operation. For this purpose, the established preload control is extended by a simple control law that adapts the preload torque to the current operating state within the permissible limits. This way, higher preload torques are only applied, if the resulting higher system stiffness is beneficial for the drive performance. Otherwise, the preload torque is reduced to save energy. The automatic preload adaptation is experimentally validated on a test system with industry standard components. This involves both system-theoretical analyses and practical test scenarios.

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Institutions

Publication Details

Journal
Production Engineering
Published
2024-11-19
DOI
https://doi.org/10.1007/s11740-024-01318-7
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.33

Funders

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article

Automatic preload adaptation for rack-and-pinion drives to maximize performance and energy efficiency

Armin Lechler, Alexander Verl, Lukas Steinle, Valentin Leipe
1 citations
Production Engineering
Iterative Learning Control Systems
0.33
article

Automatic preload adaptation for rack-and-pinion drives to maximize performance and energy efficiency

Armin Lechler, Alexander Verl, Lukas Steinle, Valentin Leipe
article en
1 citations

Abstract

Abstract Electrically preloaded rack-and-pinion drives are typically utilized in machine tools to precisely move heavy loads over long travel distances. In the state of the art, the preload torque is commonly set to a constant value during commissioning. This poses a conflict of objectives between maximizing performance and minimizing energy consumption. To resolve this, this publication presents a novel approach to automatically adapt the preload torque during operation. For this purpose, the established preload control is extended by a simple control law that adapts the preload torque to the current operating state within the permissible limits. This way, higher preload torques are only applied, if the resulting higher system stiffness is beneficial for the drive performance. Otherwise, the preload torque is reduced to save energy. The automatic preload adaptation is experimentally validated on a test system with industry standard components. This involves both system-theoretical analyses and practical test scenarios.

Production EngineeringVol. 19(3-4)
University of Stuttgart (DE)
Deutsche Forschungsgemeinschaft, Universität Stuttgart
Affordable and clean energy
Openalex Percentile: Top 39%
Iterative Learning Control Systems
0.33
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