dc.creator | Martín Torres, Cristina | es |
dc.creator | Bermúdez Guzmán, Mario | es |
dc.creator | Barrero, Federico | es |
dc.creator | Ruiz Arahal, Manuel | es |
dc.creator | Kestelyn, Xavier | es |
dc.creator | Durán, Mario J. | es |
dc.date.accessioned | 2023-11-24T08:12:24Z | |
dc.date.available | 2023-11-24T08:12:24Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Martín Torres, C., Bermúdez Guzmán, M., Barrero, F., Ruiz Arahal, M., Kestelyn, X. y Durán, M.J. (2017). Sensitivity of Predictive Controllers to Parameter Variation in Five-Phase Induction Motor Drives. Control Engineering Practice, 68, 23-31. https://doi.org/10.1016/j.conengprac.2017.08.001. | |
dc.identifier.issn | 0967-0661 | es |
dc.identifier.uri | https://hdl.handle.net/11441/151480 | |
dc.description.abstract | Model predictive control techniques have been recently proposed as a viable control alternative for power
converters and electrical drives. The good current tracking, flexible control design or reduced switching losses are
some of the benefits that explain the recently increased attention on finite-control-set model predictive control.
The performance of the predictive model of the drive, which is the core of the predictive control, highly depends
on the parameters of the real system. In this context, most research works assume good agreement between
electrical parameters of the predictive model and the real machine, on the basis of nominal values. Nevertheless,
this is far from being a real assumption, where non-modeled variables (i.e. the temperature, the magnetic
saturation or the deep-bar effect) produce a detuning effect between the real system and its model, which can
harm the control performance. The influence of parameter variations on the predictive control has barely been
investigated in recent research works, where only conventional three-phase power converter configurations and
permanent magnet drives have been taken into account. However, there is a lack of knowledge when different
technologies like induction machines or multiphase drives are considered. It is worth highlighting the interest
of the industry in induction motors as a mature technology or in multiphase drives as a promising alternative in
applications where high overall system reliability and reduction in the total power per phase are required. This
paper attempts to fill this gap by examining the impact of parameters mismatch on the finite-control-set predictive
control performance of a five-phase induction motor drive, one of the multiphase electromechanical conversion
systems with greatest impact in the research community. An exhaustive experimental sensitivity analysis of the
close loop system performance based on more than three hundred trials in a test bench is presented. | es |
dc.description.sponsorship | Universidad de Sevilla DPI2013-44278-R | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad ENE2014-52536- | es |
dc.format | application/pdf | es |
dc.format.extent | 9 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Control Engineering Practice, 68, 23-31. | |
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 | Induction machines | es |
dc.subject | Predictive control | es |
dc.subject | Finite-control-set controller | es |
dc.subject | Sensitivity analysis | es |
dc.title | Sensitivity of Predictive Controllers to Parameter Variation in Five-Phase Induction Motor Drives | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Eléctrica | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Electrónica | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | DPI2013-44278-R | es |
dc.relation.projectID | ENE2014-52536- | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0967066117301673 | es |
dc.identifier.doi | 10.1016/j.conengprac.2017.08.001 | es |
dc.contributor.group | Universidad de Sevilla. TEP196: Sistemas de Energía Eléctrica | es |
dc.contributor.group | Universidad de Sevilla. TIC201: ACE-Ti | es |
dc.journaltitle | Control Engineering Practice | es |
dc.publication.volumen | 68 | es |
dc.publication.initialPage | 23 | es |
dc.publication.endPage | 31 | es |
dc.contributor.funder | Universidad de Sevilla | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |