Article
Version 1
Preserved in Portico This version is not peer-reviewed
AI Controller for SEPIC Converter of PV Systems
Version 1
: Received: 11 October 2022 / Approved: 13 October 2022 / Online: 13 October 2022 (09:38:24 CEST)
How to cite: Pa, M. AI Controller for SEPIC Converter of PV Systems. Preprints 2022, 2022100191. https://doi.org/10.20944/preprints202210.0191.v1 Pa, M. AI Controller for SEPIC Converter of PV Systems. Preprints 2022, 2022100191. https://doi.org/10.20944/preprints202210.0191.v1
Abstract
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.
Keywords
SEPIC; control; renewable energy; ANFIS; AI
Subject
Engineering, Electrical and Electronic Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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