SavedAdd your journal

Journals / Kastamonu Üniversitesi Mühendislik ve Fen Bilimleri Dergisi / 2022 / Cilt: 8 - Sayı: 2

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

Büşra ASLAN
Selami BALCI
Ahmet KAYABAŞI
Pages
135–144
Publication Date
2022-12-26
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The proposed ANFIS-based system estimates RMS values with 7,057 % error.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study aims to isolate the output interface of single-phase inverter circuits and the grid from each other.
📊
Key Findings & Data:For this purpose, the electromagnetic modeling of the isolation transformer was carried out in three dimensions (3D) with the Ferrite N87 core material.
💡
Conclusion & Impact:The proposed ANFIS-based system estimates RMS values with 7,057 % error.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Isolation transformer · Leakage inductance · Inverter

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 (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 (ANFIS) with the numerical information obtained from the finite element analysis (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.

🔖

Cite This Article

ASLAN, B., BALCI, S., KAYABAŞI, A. (2022). ANFIS-based Parameter Estimation of a Single Phase Inverter Circuit with Isolation Transformer. Kastamonu Üniversitesi Mühendislik ve Fen Bilimleri Dergisi, Cilt: 8 - Sayı: 2, 135–144. https://ajindex.com/articles/869575

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (10)

  1. Karsai, K., Kerenyi, D. and Kiss, L., (1987)
  2. Large Power Transformers. Elsevier, New York. Winders, J., (2002). Power transformers: principles and applications. CRC Press, 1st edition, England. Li, X., Huang, W., Cui, B., and Jiang, X., (2019). Inductance Characteristics of the High-Frequency Transformer in Dual Active Bridge Converters, IEEE 22nd International Conference on Electrical Machines and Systems (ICEMS), pp. 1-5.
  3. Balci, S., Sefa, I., and Altin, N., (2016). An investigation of ferrite and nanocrystalline core materials for medium-frequency power transformers, Journal of Electronic Materials, vol. 45, no. 8, pp. 3811-3821.
  4. Mannam, R., Gorantla, S. R., and Vangala, N., (2019). A practical technique to measure transformer losses in high frequency SMPS," SN Applied Sciences, vol. 1, no. 3, p. 227, doi: 10.1007/s42452-019-0239-4.
  5. Aghaei, M., Mohsenzade, S., and Kaboli, S., (2019). On the Calculation of the Leakage Inductance in Transformers With Nonideal Windings," IEEE Transactions on Power Electronics, vol. 35, no. 8, pp. 8460-8471.
  6. Tian, H., Wei, Z., Vaisambhayana, S., Thevar, M. P., Tripathi, A., and Kjær, P. C., (2018). Calculation and Experimental Validation on Leakage Inductance of a Medium Frequency Transformer, IEEE 4th Southern Power Electronics Conference (SPEC), pp. 1-6.
  7. Mogorovic, M., and Dujic, D., (2017). Medium frequency transformer leakage inductance modeling and experimental verification, IEEE Energy Conversion Congress and Exposition (ECCE), pp. 419-424.
  8. Prieto, R., Cobos, J., Garcia, O., Alou, P., and Uceda, J., (1998). Taking into account all the parasitic effects in the design of magnetic components," in APEC'98 Thirteenth Annual Applied Power Electronics Conference and Exposition, vol. 1: IEEE, pp. 400-406.
  9. Ramachandran, R., and Deverajan, N., (2015). A fuzzy logic based three phase inverter with single DC source for grid connected PV system employing three phase transformer," International Journal of Renewable Energy Research (IJRER), vol. 5, no. 3, pp. 739-745.
  10. Rossmanith, H., and Stenglein, E., (2016). Prediction of the leakage inductance in high frequency transformers, 2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe), pp. 1-10, doi: 10.1109/EPE.2016.7695281. Mclyman, W. T., (1973). Design and material selection for inverter transformer cores, NASA Tech Brief, NPO-11726. Sharma, C. P., Sapkota, K., Newpaney, S., and Bhutia, J. N., (2019). Harmonic analysis and comparison between single