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Methods for commissioning and identification in drives

Methods for commissioning and identification in drives Purpose – The purpose of this paper is to summarize several identification methods for the automatic commissioning of electrical drives that are presented in different earlier papers of the same authors. This paper is intended as a contribution to the development of expert systems, taking into account parametric models of the mechanical and electrical subsystem as well as the corresponding parameter fitting. Design/methodology/approach – Some system parameters, which are mandatory for the commissioning of electrical and mechanical systems are often not known. For their identification, a method based on the frequency response calculation utilizing the Welch method is now presented. The main focus of the work is directed to the measurement of the frequency response by exciting the system with pseudo‐random binary signals and to the subsequent procedure for the calculation of the corresponding parameter by utilizing the Levenberg‐Marquardt algorithm. Findings – The presented identification procedure leads to outstanding results during the commissioning of the system as well as under normal operation conditions. The identification of the parameter of the mechanical and electrical systems is therefore possible during the commissioning of the drive as well as in running machines. Further, some restrictions regarding the measurement facilities are presented. Originality/value – The presented identification procedure can be applied in a variety of conditions and can be applied for diagnostic tasks. New measurement and considerations regarding the restrictions of the applied method also under normal operation of the systems underline this fact. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering Emerald Publishing

Methods for commissioning and identification in drives

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Publisher
Emerald Publishing
Copyright
Copyright © 2010 Emerald Group Publishing Limited. All rights reserved.
ISSN
0332-1649
DOI
10.1108/03321641011007966
Publisher site
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Abstract

Purpose – The purpose of this paper is to summarize several identification methods for the automatic commissioning of electrical drives that are presented in different earlier papers of the same authors. This paper is intended as a contribution to the development of expert systems, taking into account parametric models of the mechanical and electrical subsystem as well as the corresponding parameter fitting. Design/methodology/approach – Some system parameters, which are mandatory for the commissioning of electrical and mechanical systems are often not known. For their identification, a method based on the frequency response calculation utilizing the Welch method is now presented. The main focus of the work is directed to the measurement of the frequency response by exciting the system with pseudo‐random binary signals and to the subsequent procedure for the calculation of the corresponding parameter by utilizing the Levenberg‐Marquardt algorithm. Findings – The presented identification procedure leads to outstanding results during the commissioning of the system as well as under normal operation conditions. The identification of the parameter of the mechanical and electrical systems is therefore possible during the commissioning of the drive as well as in running machines. Further, some restrictions regarding the measurement facilities are presented. Originality/value – The presented identification procedure can be applied in a variety of conditions and can be applied for diagnostic tasks. New measurement and considerations regarding the restrictions of the applied method also under normal operation of the systems underline this fact.

Journal

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering – Emerald Publishing

Published: Jan 1, 2010

Keywords: Identification; Frequency response; Mechanical systems; Signal processing

References

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