Design and implementation of a neural controller for power factor correction

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dc.contributor.authorSagiroglu S.
dc.contributor.authorBayindir R.
dc.contributor.authorColak I.
dc.date.accessioned2024-07-22T08:21:28Z
dc.date.available2024-07-22T08:21:28Z
dc.date.issued2009
dc.description.abstractThis paper introduces a new control approach based on multi-layered perceptron to handle reactive power of the system with the help of a synchronous motor compensator. The neural system was trained with backpropagation with momentum. The perceptron parameters were obtained from an off-line training and then inserted in a microcontroller for the correction. The results have shown that the approach presented in this work provides accurate, simple, low-cost and fast correction than the conventional compensators available in the literature. © 2009 CRL Publishing Ltd.
dc.identifier.issn14728915
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/18632
dc.language.isoEnglish
dc.subjectBackpropagation
dc.subjectElectric power factor
dc.subjectMicrocontrollers
dc.subjectSynchronous motors
dc.subjectControl approach
dc.subjectMulti-layered
dc.subjectNeural controller
dc.subjectNeural systems
dc.subjectOff-line training
dc.subjectPerceptron
dc.subjectPower factor corrections
dc.subjectControllers
dc.titleDesign and implementation of a neural controller for power factor correction
dc.typeArticle

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