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  • Kastamonu Üniversitesi Mühendislik ve Fen Bilimleri Dergisi
  • Volume:8 Issue:2
  • ANFIS-based Parameter Estimation of a Single Phase Inverter Circuit with Isolation Transformer

ANFIS-based Parameter Estimation of a Single Phase Inverter Circuit with Isolation Transformer

Authors : Büşra ASLAN, Selami BALCI, Ahmet KAYABAŞI
Pages : 135-144
Doi:10.55385/kastamonujes.1193007
View : 20 | Download : 11
Publication Date : 2022-12-26
Article Type : Research Paper
Abstract :This study aims to isolate the output interface of single-phase inverter circuits and the grid from each other. For this purpose, the electromagnetic modeling of the isolation transformer was carried out in three dimensions insert ignore into journalissuearticles values(3D); with the Ferrite N87 core material. In order to determine the leakage inductance behavior of the transformer, a data set was obtained as a specific parametric scenario by changing the geometric dimensions of the primary-secondary windings with parametric linear steps. Thus, the estimation process of the electromagnetic modelling of the transformer has been successfully carried out thanks to the training and testing processes of Adaptive Network Based Fuzzy Inference Systems insert ignore into journalissuearticles values(ANFIS); with the numerical information obtained from the finite element analysis insert ignore into journalissuearticles values(FEA); parametric data set. After the estimation processes, the percentage error is calculated as 0.3470% and 0.4448% for training and testing. Thus, the determination of the isolation transformer with the optimum values designed for the inverter circuit has become easier. Also, experimental analysis is performed on inverters to prove the robustness of the proposed method. In this context, first of all, RMS values that vary according to the different operating parameters of the inverters are created. The proposed ANFIS-based system estimates RMS values with 7,057 % error.
Keywords : Isolation transformer, Leakage inductance, Inverter, FEA, ANFIS

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