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dc.contributor.authorGonzález, Osvaldo 
dc.contributor.authorAyala Silva, Magno Elías 
dc.contributor.authorRodas Benítez, Jorge Esteban 
dc.contributor.authorGregor Recalde, Raúl Igmar 
dc.contributor.authorDoval-Gandoy, Jesus
dc.contributor.otherUniversidad Nacional de Asunción - Facultad de Ingenieríaes
dc.date.accessioned2022-04-24T17:38:33Z
dc.date.available2022-04-24T17:38:33Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/20.500.14066/3424
dc.description.abstractFor a electrical application involving induction machines, such as the electrical propulsion drive of an electric vehicle, the rotor current cannot be measured, so it must be estimated. This paper describes the rotor current estimation through reduced order estimator known as Kalman filter to apply a sensorless speed control of dual three-phase induction machines by using an inner loop of model-based predictive control. Finally, simulation results are provided to show the efficiency of the proposed sensorless speed control algorithm, thus concluding that the system can work properly without the speed sensor.es
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnologíaes
dc.language.isoenges
dc.subject.classification5. Energíaes
dc.subject.otherKALMAN FILTERes
dc.subject.otherMULTIPHASE MACHINESes
dc.subject.otherELECTRIC VEHICLEes
dc.subject.otherSENSORLESS CONTROLes
dc.subject.otherMODEL PREDICTIVE CONTROLes
dc.titleSpeed-sensorless predictive current control for a dual three-phase induction machine using a kalman filter for electrial vehicle applicationses
dc.typeinfo:eu-repo/semantics/articlees
dc.typeinfo:eu-repo/semantics/publishedVersiones
dc.description.fundingtextPROCIENCIAes
dc.relation.projectCONACYT14-INV-101es
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subject.ocdeINGENIERIAes


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