dc.creator | González Prieto, Ángel | es |
dc.creator | González Prieto, Ignacio | es |
dc.creator | Durán Martínez, Mario Javier | es |
dc.creator | Barrero, Federico | es |
dc.date.accessioned | 2020-01-30T19:27:22Z | |
dc.date.available | 2020-01-30T19:27:22Z | |
dc.date.issued | 2019-10 | |
dc.identifier.citation | González Prieto, Á., González Prieto, I., Durán Martínez, M.J. y Barrero, F. (2019). Eficient Model Predictive Control with Natural Fault-Tolerance in Asymmetrical Six-Phase Induction Machines. Energies, 12 (20). Article number 3989. | |
dc.identifier.issn | 1996-1073 | es |
dc.identifier.uri | https://hdl.handle.net/11441/92623 | |
dc.description.abstract | Multiphase machines allow enhancing the performance of wind energy conversion systems
from the point of view of reliability and eficiency. The enhanced robustness has been traditionally
achieved with a mandatory post-fault control reconfiguration. Nevertheless, when the regulation of
x-y currents in multiphase drives is done in open-loop mode, the reconfiguration can be avoided.
As a consequence, the reliability of the system increases because fault detection errors or delays have
no impact on the post-fault performance. This capability has been recently defined as natural fault
tolerance. From the point of view of the eficiency, multiphase machines present a better power density
than three-phase machines and lower per-phase currents for the same voltage rating. Moreover, the
implementation of control strategies based on a variable flux level can further reduce the system
losses. Targeting higher reliability and eficiency for multiphase wind energy conversion systems,
this work proposes the implementation of an eficient model predictive control using virtual voltage
vectors for six-phase induction machines. The use of virtual voltage vectors allows regulation of the
x-y currents in open-loop mode and achieving the desired natural fault tolerance. Then, a higher
eficiency can be achieved with a simple and universal cost function, which is valid both in pre- and
post-fault situations. Experimental results confirm the viability and goodness of the proposal. | es |
dc.description.sponsorship | Gobierno español RTI2018-096151-B-I00 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Energies, 12 (20). Article number 3989. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Model predictive control | es |
dc.subject | Multiphase induction machines | es |
dc.subject | Natural fault tolerance | es |
dc.title | Eficient Model Predictive Control with Natural Fault-Tolerance in Asymmetrical Six-Phase Induction 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 | RTI2018-096151-B-I00 | es |
dc.relation.publisherversion | https://doi.org/10.3390/en12203989 | es |
dc.identifier.doi | 10.3390/en12203989 | es |
idus.format.extent | 16 p. | es |
dc.journaltitle | Energies | es |
dc.publication.volumen | 12 | es |
dc.publication.issue | 20 | es |
dc.publication.endPage | Article number 3989 | es |
dc.identifier.sisius | 21870412 | |
dc.contributor.funder | Gobierno de España | |