Online estimation of rotor variables in predictive current controllers: A case study using five-phase induction machines

dc.contributorUniversidad Nacional de Asunción - Facultad de Ingeniería
dc.creatorRodas Benítez, Jorge Esteban
dc.creatorBarreto, Ursino Federico
dc.creatorArahal, Manuel
dc.creatorMartín, Cristina
dc.creatorGregor Recalde, Raul Igmar
dc.date2022-04-24T17:32:48Z
dc.date2022-04-24T17:32:48Z
dc.date2016-09
dc.date.accessioned2023-09-25T13:31:57Z
dc.date.available2023-09-25T13:31:57Z
dc.identifierhttp://hdl.handle.net/20.500.14066/3417
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8807735
dc.descriptionPredictive current control (PCC) has been recently proposed like an alternative to conventional PI-PWM current control techniques. Implemented solutions are based on inaccurate estimation of the rotor electrical variables to reduce the computational cost of the method. In this study, the utility and computational cost of PCC with different methods for the online estimation of the rotor variables are studied. Experimental results are provided to characterize the obtained benefits and drawbacks, using a five-phase induction machine as a case example.
dc.descriptionCONACYT – Consejo Nacional de Ciencia y Tecnología
dc.descriptionPROCIENCIA
dc.languageeng
dc.relation14-INV-101
dc.rightsopen access
dc.rights© 2016 IEEE
dc.subject5 Energía
dc.subjectMULTIPHASE INDUCTION MACHINE
dc.subjectONLINE STIMATION
dc.subjectMODEL PREDICTIVE CONTROL
dc.subjectINGENIERIA
dc.titleOnline estimation of rotor variables in predictive current controllers: A case study using five-phase induction machines
dc.typeresearch article


Este ítem pertenece a la siguiente institución