Type-2 Fuzzy Logic Algorithm Based High Gain Improved Luo Converter for EV Applications

Santhoshi, B. Kavya and Lakshmi, D. and Kumar, R. Tharwin and Patwa, Sharda and Lins, A.Wisemin and Matcha, Murali (2023) Type-2 Fuzzy Logic Algorithm Based High Gain Improved Luo Converter for EV Applications. In: 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT), Kollam, India.

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Abstract

bstract— The electrical grid's quality of power is
compromised by the building of electric vehicle (EV) charging
stations. This research suggests an electric vehicle period type 2
regulated high-quality charging system. For shunt conversion
control, the fuzzy logic controller built on the immediately
reactive power theory is suggested. The DC-link voltage
measurement of the shunt converter's output and the entire
harmonic distortion of the original present serve as the basis for
assessment of type 1, interval type 2, and real programmed
adaptive algorithm optimized fuzzy logic processors. These are
also possible using the approach recommended by utilizing a
high-end Power Quality bridgeless LUO conversion. The
present Power Factor Correction (PFC) is constructed by
coupling two separate, comparable half-cycle LUO converters
with a conventional capacitor. Because typical PFC converter
do not include input diode bridges, a converter offers a high density of power and low cost based EV charging technique with improved precision functioning in just one flipping cycle. The current from the input flows into a battery and the supply voltage is generated p recisely on step, but the input power factor is high.

Item Type: Conference or Workshop Item (Paper)
Subjects: Electrical and Electronics Engineering > Electrical Power and Machines
Divisions: Electrical and Electronics Engineering
Depositing User: Mr IR Admin
Date Deposited: 24 Sep 2024 06:09
Last Modified: 24 Sep 2024 06:09
URI: https://ir.vistas.ac.in/id/eprint/6982

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