dc.contributorUniversidad Nacional de Asunción - Facultad de Ingeniería
dc.contributorUniversidad de Talca - Faculty of Engineering
dc.creatorGonzález, Osvaldo
dc.creatorRodas Benítez, Jorge Esteban
dc.creatorGregor Recalde, Raul Igmar
dc.creatorAyala Silva, Magno Elias
dc.creatorRivera, Marco
dc.date2022-04-24T17:36:37Z
dc.date2022-04-24T17:36:37Z
dc.date2018
dc.date.accessioned2023-09-25T13:29:27Z
dc.date.available2023-09-25T13:29:27Z
dc.identifierhttp://hdl.handle.net/20.500.14066/3423
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8806096
dc.descriptionIn power electronics, multiphase machines have been recently proposed, where most sensorless algorithms applied to electrical drives are represented through a mathematical representation of the physical system which includes the electrical and mechanical parameters of the motor. However, in electrical drive applications, the rotor current cannot be measured, so it must be estimated. This paper deals with the speed sensorless control of five-phase induction machines by using an inner loop of model-based predictive control (MPC). The MPC is obtained from the mathematical model of the machine, using a state-space representation where the two state variables are the stator and rotor currents, respectively. The rotor current is estimated using a reduced order optimal estimator based on a Kalman filter. Simulation results are provided to show the efficiency of the proposed sensorless speed control algorithm.
dc.descriptionCONACYT – Consejo Nacional de Ciencia y Tecnología
dc.descriptionPROCIENCIA
dc.languageeng
dc.relation14-INV-101
dc.rightsopen access
dc.subject5 Energía
dc.subjectMULTIPHASE INDUCTION MACHINE
dc.subjectFIVE-PHASE INDUCTION MACHINE
dc.subjectKALMAN FILTER
dc.subjectSENSORLESS CONTROL
dc.subjectINGENIERIA
dc.titleSpeed sensorless predictive current control of a five-phase induction machine
dc.typeresearch article


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