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Experimental Investigation and Comparison of Approaches for Correcting Acceleration Phases in Motor Torque Signal of Electromechanical Axes

Topics: Control and Supervision Systems; Engineering Applications on Intelligent Control Systems and Optimization; Industrial Automation and Robotics; Intelligent Fault Detection, Diagnosis and Prognostics; Mechatronics Systems; Modeling, Simulation and Architecture; System Identification; System Modeling

Authors: Chris Schöberlein ; André Sewohl ; Holger Schlegel and Martin Dix

Affiliation: Institute for Machine Tools and Production Processes, Chemnitz University of Technology, Reichenhainer Str. 70, 09126 Chemnitz, Germany

Keyword(s): Electromechanical Axis, Industry 4.0, System Identification, Acceleration Correction.

Abstract: Electromechanical axes are an essential factor for productivity in almost all common production systems. In context of Industry 4.0, using integrated sensors for machine monitoring is gaining importance in recent years. In addition to the well-known condition monitoring of mechanical components, the internal control loop signals are capable to estimate external load forces, e.g. caused by production process. However, this requires the separation of all motor-related signal components from the external loads. The paper contributes to this topic by comparing multiple approaches for detecting acceleration and braking phases during conventional axis movements and examines the subsequent correction of associated components in motor torque signal. All approaches exclusively use signals available in the drive and control system. Extensive experiments on a single-axis rotary test rig show general suitability as well as limitations of the presented methods.

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Paper citation in several formats:
Schöberlein, C.; Sewohl, A.; Schlegel, H. and Dix, M. (2023). Experimental Investigation and Comparison of Approaches for Correcting Acceleration Phases in Motor Torque Signal of Electromechanical Axes. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-670-5; ISSN 2184-2809, SciTePress, pages 140-151. DOI: 10.5220/0012160600003543

@conference{icinco23,
author={Chris Schöberlein. and André Sewohl. and Holger Schlegel. and Martin Dix.},
title={Experimental Investigation and Comparison of Approaches for Correcting Acceleration Phases in Motor Torque Signal of Electromechanical Axes},
booktitle={Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2023},
pages={140-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012160600003543},
isbn={978-989-758-670-5},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Experimental Investigation and Comparison of Approaches for Correcting Acceleration Phases in Motor Torque Signal of Electromechanical Axes
SN - 978-989-758-670-5
IS - 2184-2809
AU - Schöberlein, C.
AU - Sewohl, A.
AU - Schlegel, H.
AU - Dix, M.
PY - 2023
SP - 140
EP - 151
DO - 10.5220/0012160600003543
PB - SciTePress