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Interest and Applicability of Meta-Heuristic Algorithms in the Electrical Parameter Identification of Multiphase Machines
dc.creator | Gutiérrez Reina, Daniel | es |
dc.creator | Barrero, Federico | es |
dc.creator | Riveros, José | es |
dc.creator | González Prieto, Ignacio | es |
dc.creator | Toral, S. L. | es |
dc.creator | Durán, Mario J. | es |
dc.date.accessioned | 2019-04-24T18:48:01Z | |
dc.date.available | 2019-04-24T18:48:01Z | |
dc.date.issued | 2019-01 | |
dc.identifier.citation | Gutiérrez Reina, D., Barrero, F., Riveros, J., González Prieto, I., Toral, S.L. y Durán, M.J. (2019). Interest and Applicability of Meta-Heuristic Algorithms in the Electrical Parameter Identification of Multiphase Machines. Energies, 12 (2) | |
dc.identifier.issn | 1996-1073 | es |
dc.identifier.uri | https://hdl.handle.net/11441/85925 | |
dc.description.abstract | Multiphase machines are complex multi-variable electro-mechanical systems that are receiving special attention from industry due to their better fault tolerance and power-per-phase splitting characteristics compared with conventional three-phase machines. Their utility and interest are restricted to the definition of high-performance controllers, which strongly depends on the knowledge of the electrical parameters used in the multiphase machine model. This work presents the proof-of-concept of a new method based on particle swarm optimization and standstill time-domain tests. This proposed method is tested to estimate the electrical parameters of a five-phase induction machine. A reduction of the estimation error higher than 2.5% is obtained compared with gradient-based approaches. | es |
dc.description.sponsorship | Plan Estatal 2013-2016 Retos - Proyectos I+D+i DPI2013-44278-R | es |
dc.description.sponsorship | Plan Estatal 2013-2016 Retos - Proyectos I+D+i DPI2016-76144-R | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Energies, 12 (2) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Multiphase drives | es |
dc.subject | Off-line identification methods | es |
dc.subject | Meta-heuristic algorithms | es |
dc.title | Interest and Applicability of Meta-Heuristic Algorithms in the Electrical Parameter Identification of Multiphase Machines | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Electrónica | es |
dc.relation.projectID | DPI2013-44278-R | es |
dc.relation.projectID | DPI2016-76144-R | es |
dc.relation.publisherversion | https://doi.org/10.3390/en12020314 | es |
dc.identifier.doi | 10.3390/en12020314 | es |
idus.format.extent | 15 p. | es |
dc.journaltitle | Energies | es |
dc.publication.volumen | 12 | es |
dc.publication.issue | 2 | es |
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