AI Controller for SEPIC Converter of PV Systems

Mary Pa

doi:10.20944/preprints202210.0191.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 11 October 2022 / Approved: 13 October 2022 / Online: 13 October 2022 (09:38:24 CEST)

This research presents a maximum power point tracking of traditional single-ended primary converter (SEPIC) with the aid of fuzzy logic controller (FLC) for regulating the voltage and perturbation and observation(P&O) algorithms for regulating the reference voltage and reaching the maximum power point tracking. This is a promising technique for the conventional SEPIC converter to achieve maximum power point tracking with much less error. Moreover, the method is simple, reliable, and understandable for photovoltaic systems.

SEPIC; control; renewable energy; ANFIS; AI

Engineering, Electrical and Electronic Engineering

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AI Controller for SEPIC Converter of PV Systems

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