Fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems

Volume: 18, Issue: 3, Pages: 351 - 384
Published: Jan 1, 2021
Abstract
Conventionally, the parameters of a fuzzy logic controller (FLC) are obtained by a trial and error method or by human experience. In this paper, the problem of designing a FLC for maximum power point tracking (MPPT) of a photovoltaic system (PV) that consists of a PV generator, a DC-DC boost converter and a lead-acid battery is studied. The normalization gains, the membership functions and the fuzzy rules are automatically adjusted using a...
Paper Details
Title
Fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems
Published Date
Jan 1, 2021
Volume
18
Issue
3
Pages
351 - 384
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