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- W4292242809 abstract "This paper presents an investigation of speed control of BLDC drive with VSI between PI and neural network controllers. Zeta converter is utilized for controlling the DC interface voltage since it is having buck-support capacity and better improvement of power factor contrasted with boost converter. The power factor correction (PFC)-based zeta converter is intended to work in discontinuous inductor current mode. The essential regulator utilized for speed control of engine utilized is PI controller. In this work, PI regulator-based BLDC drive and neural-based BLDC drive are performed in MATLAB and compared. The re-enactment results show neural network controller-based speed regulator lessens the ascent time and gives quick speed reaction. The created neural network controller has capacity to adapt promptly and adjust its own control parameters dependent on aggravations with least state error, overshoot, and rise time. The exhibition of the proposed drive is approved with outcomes got on a MATLAB/Simulink." @default.
- W4292242809 created "2022-08-19" @default.
- W4292242809 creator A5041209045 @default.
- W4292242809 date "2022-01-01" @default.
- W4292242809 modified "2023-10-13" @default.
- W4292242809 title "Neural Network-Based BLDC Motor Drive for Electric Vehicle Application" @default.
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- W4292242809 doi "https://doi.org/10.1007/978-981-19-2130-8_90" @default.
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