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Improved design of an intelligent controller for speed control of brushless dc motor (BLDCM) [articol]

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dc.contributor.author Bagavathy, S.
dc.contributor.author Dr. Pandi, P. Maruthu
dc.date.accessioned 2024-02-06T12:36:04Z
dc.date.available 2024-02-06T12:36:04Z
dc.date.issued 2021
dc.identifier.citation Bagavathy, 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/NPNL5947 en_US
dc.identifier.uri https://dspace.upt.ro/xmlui/handle/123456789/6181
dc.identifier.uri https://search.crossref.org/search/works?q=10.59168%2FNPNL5947&from_ui=yes Link DOI
dc.description.abstract Brushless 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.iso en en_US
dc.publisher Timișoara: Editura Politehnica en_US
dc.relation.ispartofseries Journal of Electrical Engineering;Vol 21 No 3
dc.subject BLDC motor en_US
dc.subject Intelligent controller en_US
dc.subject Four quadrant en_US
dc.subject Fuzzy en_US
dc.subject Neural network en_US
dc.title Improved design of an intelligent controller for speed control of brushless dc motor (BLDCM) [articol] en_US
dc.type Article en_US


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