Version 1
: Received: 3 September 2024 / Approved: 3 September 2024 / Online: 3 September 2024 (23:33:24 CEST)
How to cite:
Pajchrowski, T.; Wicher, B.; Ewert, P. Sensorless Detection of Mechanical Unbalance in Servodrive with Elastic Coupling. Preprints2024, 2024090266. https://doi.org/10.20944/preprints202409.0266.v1
Pajchrowski, T.; Wicher, B.; Ewert, P. Sensorless Detection of Mechanical Unbalance in Servodrive with Elastic Coupling. Preprints 2024, 2024090266. https://doi.org/10.20944/preprints202409.0266.v1
Pajchrowski, T.; Wicher, B.; Ewert, P. Sensorless Detection of Mechanical Unbalance in Servodrive with Elastic Coupling. Preprints2024, 2024090266. https://doi.org/10.20944/preprints202409.0266.v1
APA Style
Pajchrowski, T., Wicher, B., & Ewert, P. (2024). Sensorless Detection of Mechanical Unbalance in Servodrive with Elastic Coupling. Preprints. https://doi.org/10.20944/preprints202409.0266.v1
Chicago/Turabian Style
Pajchrowski, T., Bartłomiej Wicher and Pawel Ewert. 2024 "Sensorless Detection of Mechanical Unbalance in Servodrive with Elastic Coupling" Preprints. https://doi.org/10.20944/preprints202409.0266.v1
Abstract
The article focusses on detecting the unbalance of a mechanical component in the electric drive system of a two-mass servomechanism with a PMSM motor, which is connected to the load via a long, flexible shaft. In the example analysed, the degree of unbalance was determined using the reference current signal from the speed controller of the FOC control system. The authors pre-sented a two-mass model with an unbalanced mechanical system. The STFT transform was used to analyse the symptoms of unbalance and an artificial neural network MLP was used for system state inference. The effectiveness of the presented analysis, based on the reference current signal from the sensor embedded in the control system, was experimentally confirmed
Keywords
unbalance; artificial neural network; two-mass system
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
