| dc.contributor.author | Boudjemai, Hamza | |
| dc.contributor.author | Ardjoun, Sid Ahmed El-Mehdi | |
| dc.contributor.author | Chafouk, Houcine | |
| dc.contributor.author | Denai, Mouloud | |
| dc.date.accessioned | 2024-07-02T10:45:13Z | |
| dc.date.available | 2024-07-02T10:45:13Z | |
| dc.date.issued | 2022-01-17 | |
| dc.identifier.citation | 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 , 9/10/21 - 10/10/21 . https://doi.org/10.1051/e3sconf/202233600007 | |
| dc.identifier.citation | conference | |
| dc.identifier.uri | http://hdl.handle.net/2299/28004 | |
| dc.description | © 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/ | |
| dc.description.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. | en |
| dc.format.extent | 2211490 | |
| dc.language.iso | eng | |
| dc.title | A New Method for the Parametric Identification of DC Machines Using MATLAB Identification Toolbox and Experimental Measurements | en |
| dc.contributor.institution | Centre for Engineering Research | |
| dc.contributor.institution | Communications and Intelligent Systems | |
| dc.contributor.institution | School of Physics, Engineering & Computer Science | |
| dc.contributor.institution | Department of Engineering and Technology | |
| dc.description.status | Peer reviewed | |
| rioxxterms.versionofrecord | 10.1051/e3sconf/202233600007 | |
| rioxxterms.type | Other | |
| herts.preservation.rarelyaccessed | true | |
