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Execution of BLDC Motor using Fuzzy Logic Controller on Propulsion Application for Hybrid Vehicle System
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1542.0982s1119
Subject(s) - dc motor , control theory (sociology) , computer science , propulsion , controller (irrigation) , fuzzy logic , rotor (electric) , electronic speed control , torque ripple , motor drive , power (physics) , brushed dc electric motor , control engineering , direct torque control , induction motor , engineering , control (management) , ac motor , electric motor , voltage , electrical engineering , artificial intelligence , physics , mechanical engineering , agronomy , aerospace engineering , biology , quantum mechanics
This research Paper proposes the Brushless DC motors control (BLDC) could accomplish higher execution looking into effectiveness in examination for old brushed DC motor controlling which is difficult to control because it requires a phase for switching circuit. This work proposes a fuzzy logic control for brushless DC motor for axis based on Hall Effect by applying sensor control system and also it produces brushless motor for rearranging the three phase conduction mode model. At long last this paper may be with create efficient control methodologies on enhance driving dynamics on the mechanical dynamic consider of propulsion method. The recommended control method stabilizes those controls services (speeds) done by controller of brushless DC motor drive (BLDC). On behalf of settling 2 wheels also physical favorable circumstances of BLDC motors are associated straight forwardly of the tires by improving the rotor speed. The parameters such as power factor, rotor speed, torque ripple, EMF is compensated & simulation results are tabulated.

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