| Issue |
E3S Web Conf.
Volume 336, 2022
The International Conference on Energy and Green Computing (ICEGC’2021)
|
|
|---|---|---|
| Article Number | 00007 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202233600007 | |
| Published online | 17 January 2022 | |
A New Method for the Parametric Identification of DC Machines Using MATLAB Identification Toolbox and Experimental Measurements
1 IRECOM Laboratory, Faculty of Electrical Engineering, Djillali Liabes University, Sidi Bel-Abbes, Algeria
2 Normandy University, UNIROUEN, ESIGELEC, IRSEEM, 76000 Rouen, France
3 School of Engineering and Computer Science, University of Hertfordshire, Hatfield, United Kingdom
* Corresponding author: elmehdi.ardjoun@univ-sba.dz
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.
Key words: DC machine / Parameter identification / Matlab Ident Toolbox / dSPACE 1104
© The Authors, published by EDP Sciences, 2022
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