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Article

AI Controller for SEPIC Converter of PV Systems

This version is not peer-reviewed.

Mary Pa  *

Submitted:

11 October 2022

Posted:

13 October 2022

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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 open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.

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