Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/6181
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dc.contributor.authorBagavathy, S.-
dc.contributor.authorDr. Pandi, P. Maruthu-
dc.date.accessioned2024-02-06T12:36:04Z-
dc.date.available2024-02-06T12:36:04Z-
dc.date.issued2021-
dc.identifier.citationBagavathy, S.; Dr. Pandi, P. Maruthu. Improved design of an intelligent controller for speed control of brushless dc motor (BLDCM). Timişoara: Editura Politehnica, 2021 Disponibil la https://doi.org/10.59168/NPNL5947en_US
dc.identifier.urihttps://dspace.upt.ro/xmlui/handle/123456789/6181-
dc.identifier.urihttps://search.crossref.org/search/works?q=10.59168%2FNPNL5947&from_ui=yes Link DOI-
dc.description.abstractBrushless Direct Current Motor (BLDCM) drives are progressively prominent in traction as well as in industrial operations. The rheostat of BLDCM in multi quadrants is significant. By utilizing smart controller, the adaptability of the drive mechanism expanded. In this paper, the solar panel is encouraged by the BLDCM, and the for driving the power inverter channel signals of PWM for BLDCM have been effectively executed utilizing a controller with and the motor controlled by all the four quadrants with no consumption of the energy power is preserved through re-forming braking time interval. By using fuzzy with neural network learning the intelligent controller framed. MATLAB /Simulink done by using simulation of the recommended model.en_US
dc.language.isoenen_US
dc.publisherTimișoara: Editura Politehnicaen_US
dc.relation.ispartofseriesJournal of Electrical Engineering;Vol 21 No 3-
dc.subjectBLDC motoren_US
dc.subjectIntelligent controlleren_US
dc.subjectFour quadranten_US
dc.subjectFuzzyen_US
dc.subjectNeural networken_US
dc.titleImproved design of an intelligent controller for speed control of brushless dc motor (BLDCM) [articol]en_US
dc.typeArticleen_US
Appears in Collections:Articole științifice/Scientific articles

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