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Modified Zeta Converter Based On ANFIS Controller Using MPPT PV System
Author(s) -
V. R. P. Jonnalagadda,
K. R. Sugavanam,
K. Mohana Sundaram,
C. L. Kuppuswamy,
Ramu Bhukya,
Kalyan Sagar Kadali
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1916/1/012126
Subject(s) - renewable energy , controller (irrigation) , converters , adaptive neuro fuzzy inference system , maximum power point tracking , boost converter , computer science , photovoltaic system , automotive engineering , inverter , control theory (sociology) , voltage , engineering , electrical engineering , fuzzy logic , control (management) , fuzzy control system , agronomy , artificial intelligence , biology
In this paper, the photo volatic (PV) renewable energy is fed to load demand using Modified ZETA converter with ANFIS logic controller. Nowadays, renewables have become a blooming market. These are the main sources of energy that exist in the natural environment. It is a clean alternative to fossil fuels. Therefore the application of power electronics to the wind power generation region has become critical. Converters and inverters are the primary method used to produce such renewable resources, quickly and effectively implemented. The ANFIS controller for the SEPIC converter that interfaced between inverter and source, keeps constant voltage during variable load situation and depicted in a small steady error and a small overflow. The design and analysis of PV based modified ZETA converter is explained and the results are verified using MATLAB/Simulink.

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