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ISSN 2063-5346
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PERFORMANCE ANALYSIS OF PMBLDCM BY USING AI FUZZY MECHANISM

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Shahuraj S Sable, Dr. Ashok Kumar Jhala
» doi: 10.31838/ecb/2023.12.s3.174

Abstract

This article, fuzzy control technique for operation of brushless [BL] direct current drives is presented. Fuzzy algorithm and PMBLDCM mathematical model are present. Function of fuzzy are to keep the brushless [BL] direct current drives on the track while changes happens in speed due to load variations. The inverter, which receives its input from the rotor dynamics position and current, feeds the BLDC motor. The fuzzy is now the ideal control for solving this major issue. The creation of simulation structure in MATLABSimulink is used to demonstrate the efficacy as well as torque ripples of the suggested approach. The simulation results demonstrate proposed fuzzy technique [FLC], for both conditions managing speed reference changes and load disturbance variations, significantly outperforms the PI controller in terms of control and performance. To avoid chattering as well as boost up stability of control mechanism fuzzy appeared in drive. Development of fuzzy boundary layers enables a more seamless transition to the comparable control. Better disturbance rejection abilities and less overshoot in response.

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