Sensorless Control for a Switched Reluctance Wind Generator, Based on Current Slopes and Neural Networks

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dc.contributor.authorEchenique Subiabre, Estanislao Juan Pablo.
dc.contributor.authorDixon, Juan
dc.contributor.authorCardenas, Roberto
dc.contributor.authorPena, Ruben
dc.date.accessioned2022-05-20T13:51:21Z
dc.date.available2022-05-20T13:51:21Z
dc.date.issued2009
dc.description.abstractIn this paper, the analysis, design, and implementation of a novel rotor position estimator for the control of variable-speed switched reluctance generators (SRGs) are presented. The rotor position is obtained using the unsaturated instantaneous inductance. This unsaturated inductance is estimated calculating the slope of the phase current and using a reduced-size neural network (NN) whose inputs are the average current and the saturated inductance. The proposed estimator requires less processing time than traditional methods and can be fully implemented using a low-cost DSP with very few additional analog/digital components. The rotor position estimator presented in this paper can be applied to a wind energy conversion system where the SRG is used as a variable-speed generator. This application is currently being studied because the SRG has well-known advantages such as robustness, low manufacturing cost, and good size-to-power ratio. Simulation and experimental results are presented using a 2.5-kW 8/6-SRG prototype.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/TIE.2008.2005940
dc.identifier.issn1557-9948
dc.identifier.urihttps://doi.org/10.1109/TIE.2008.2005940
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4657370
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/64224
dc.information.autorucEscuela de ingeniería ; Echenique Subiabre, Estanislao Juan Pablo ; S/I ; 120679
dc.information.autorucEscuela de ingeniería ; Dixon, Juan ; S/I ; 99537
dc.issue.numero3
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final825
dc.pagina.inicio817
dc.revistaIEEE Transactions on Industrial Electronics
dc.rightsacceso restringido
dc.subjectSensorless control
dc.subjectReluctance generators
dc.subjectNeural networks
dc.subjectRotors
dc.subjectInductance
dc.subjectPhase estimation
dc.subjectDigital signal processing
dc.subjectWind energy
dc.subjectWind energy generation
dc.subjectRobustness
dc.titleSensorless Control for a Switched Reluctance Wind Generator, Based on Current Slopes and Neural Networkses_ES
dc.typeartículo
dc.volumen56
sipa.codpersvinculados120679
sipa.codpersvinculados99537
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