Publication:
Speed estimation of brushless direct current (BLDC) motor with multilayer perceptron [Określanie prędkości obrotowej silnika BLDC przy wykorzystaniu wielowarstwowego perceptronu]

dc.contributor.authorsSerteller N.F.O., Bektas Y., Nogay S., Akinci T.C.
dc.date.accessioned2022-03-28T15:01:50Z
dc.date.accessioned2026-01-10T18:34:18Z
dc.date.available2022-03-28T15:01:50Z
dc.date.issued2012
dc.description.abstractThis study used an artificial neural network model to estimate the revolutions per minute of a brushless direct current (BLDC) motor operating at different driver modes and different load currents. The dataset that was used to train and test the artificial neural network model was obtained from experimental applications and was made applicable for the training of a multilayer perceptron. A total of 7643 data items were used in the study. Of these data, 382 were used to test the ANN model. Test results indicated that the multilayer perceptron provided 99.34% estimation and that the target and the results were quite close.
dc.identifier.issn332097
dc.identifier.urihttps://hdl.handle.net/11424/256826
dc.language.isoeng
dc.publisherWydawnictwo SIGMA - N O T Sp. z o.o.
dc.relation.ispartofPrzeglad Elektrotechniczny
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBacpropagation
dc.subjectBrushless direct current motor (BLDC)
dc.subjectEstimation
dc.subjectMulti-layer perceptron
dc.subjectSpeed
dc.titleSpeed estimation of brushless direct current (BLDC) motor with multilayer perceptron [Określanie prędkości obrotowej silnika BLDC przy wykorzystaniu wielowarstwowego perceptronu]
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage260
oaire.citation.issue9 A
oaire.citation.startPage255
oaire.citation.titlePrzeglad Elektrotechniczny
oaire.citation.volume88

Files