A New Method for the Parametric Identification of DC Machines Using MATLAB Identification Toolbox and Experimental Measurements

Hamza Boudjemai; Sid Ahmed El-Mehdi Ardjoun; Houcine Chafouk; Mouloud Denai

doi:10.1051/e3sconf/202233600007

A New Method for the Parametric Identification of DC Machines Using MATLAB Identification Toolbox and Experimental Measurements

Hamza Boudjemai, Sid Ahmed El-Mehdi Ardjoun, Houcine Chafouk, Mouloud Denai

Research output: Contribution to conference › Paper › peer-review

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Abstract

This paper proposes a new approach for the identification of a DC machine (DCM) parameters to build a mathematical model considering different dynamic regimes, which characterize the operation of the studied machine. The proposed solution is simple and is based on the combination of classical identification methods and those available in the identification toolbox of MATLAB. The results obtained experimentally are significantly better and clearly show that the proposed approach is simple to implement and the DCM model is obtained quickly with a reasonable accuracy.

Original language	English
DOIs	https://doi.org/10.1051/e3sconf/202233600007
Publication status	E-pub ahead of print - 17 Jan 2022
Event	The International Conference on Energy and Green Computing (ICEGC'2021) - Meknes, Morocco Duration: 9 Oct 2021 → 10 Oct 2021 https://www.iraset.org/icegc2021/

Conference

Conference	The International Conference on Energy and Green Computing (ICEGC'2021)
Abbreviated title	ICEGC’2021
Country/Territory	Morocco
City	Meknes
Period	9/10/21 → 10/10/21
Internet address	https://www.iraset.org/icegc2021/

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10.1051/e3sconf/202233600007Licence: CC BY

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© 2022 The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/
Final published version, 2.11 MBLicence: CC BY

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Boudjemai, H., Ardjoun, S. A. E.-M., Chafouk, H., & Denai, M. (2022). A New Method for the Parametric Identification of DC Machines Using MATLAB Identification Toolbox and Experimental Measurements. Paper presented at The International Conference on Energy and Green Computing (ICEGC'2021), Meknes, Morocco. Advance online publication. https://doi.org/10.1051/e3sconf/202233600007

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abstract = "This paper proposes a new approach for the identification of a DC machine (DCM) parameters to build a mathematical model considering different dynamic regimes, which characterize the operation of the studied machine. The proposed solution is simple and is based on the combination of classical identification methods and those available in the identification toolbox of MATLAB. The results obtained experimentally are significantly better and clearly show that the proposed approach is simple to implement and the DCM model is obtained quickly with a reasonable accuracy.",

author = "Hamza Boudjemai and Ardjoun, {Sid Ahmed El-Mehdi} and Houcine Chafouk and Mouloud Denai",

note = "{\textcopyright} 2022 The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/; The International Conference on Energy and Green Computing (ICEGC'2021), ICEGC{\textquoteright}2021 ; Conference date: 09-10-2021 Through 10-10-2021",

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A New Method for the Parametric Identification of DC Machines Using MATLAB Identification Toolbox and Experimental Measurements. / Boudjemai, Hamza; Ardjoun, Sid Ahmed El-Mehdi; Chafouk, Houcine et al.
2022. Paper presented at The International Conference on Energy and Green Computing (ICEGC'2021), Meknes, Morocco.

Research output: Contribution to conference › Paper › peer-review

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T1 - A New Method for the Parametric Identification of DC Machines Using MATLAB Identification Toolbox and Experimental Measurements

AU - Boudjemai, Hamza

AU - Ardjoun, Sid Ahmed El-Mehdi

AU - Chafouk, Houcine

AU - Denai, Mouloud

N1 - © 2022 The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/

PY - 2022/1/17

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N2 - This paper proposes a new approach for the identification of a DC machine (DCM) parameters to build a mathematical model considering different dynamic regimes, which characterize the operation of the studied machine. The proposed solution is simple and is based on the combination of classical identification methods and those available in the identification toolbox of MATLAB. The results obtained experimentally are significantly better and clearly show that the proposed approach is simple to implement and the DCM model is obtained quickly with a reasonable accuracy.

AB - This paper proposes a new approach for the identification of a DC machine (DCM) parameters to build a mathematical model considering different dynamic regimes, which characterize the operation of the studied machine. The proposed solution is simple and is based on the combination of classical identification methods and those available in the identification toolbox of MATLAB. The results obtained experimentally are significantly better and clearly show that the proposed approach is simple to implement and the DCM model is obtained quickly with a reasonable accuracy.

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DO - 10.1051/e3sconf/202233600007

M3 - Paper

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Y2 - 9 October 2021 through 10 October 2021

ER -

A New Method for the Parametric Identification of DC Machines Using MATLAB Identification Toolbox and Experimental Measurements

Abstract

Conference

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