Speed-sensorless predictive current control for a dual three-phase induction machine using a kalman filter for electrial vehicle applications

dc.contributorUniversidad Nacional de Asunción - Facultad de Ingeniería
dc.creatorGonzález, Osvaldo
dc.creatorAyala Silva, Magno Elias
dc.creatorRodas Benítez, Jorge Esteban
dc.creatorGregor Recalde, Raul Igmar
dc.creatorDoval-Gandoy, Jesus
dc.date2022-04-24T17:38:33Z
dc.date2022-04-24T17:38:33Z
dc.date2018
dc.date.accessioned2023-09-25T13:31:04Z
dc.date.available2023-09-25T13:31:04Z
dc.identifierhttp://hdl.handle.net/20.500.14066/3424
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8807144
dc.descriptionFor 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.
dc.descriptionCONACYT – Consejo Nacional de Ciencia y Tecnología
dc.descriptionPROCIENCIA
dc.languageeng
dc.relation14-INV-101
dc.rightsopen access
dc.subject5 Energía
dc.subjectKALMAN FILTER
dc.subjectMULTIPHASE MACHINES
dc.subjectELECTRIC VEHICLE
dc.subjectSENSORLESS CONTROL
dc.subjectMODEL PREDICTIVE CONTROL
dc.subjectINGENIERIA
dc.titleSpeed-sensorless predictive current control for a dual three-phase induction machine using a kalman filter for electrial vehicle applications
dc.typeresearch article


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