High Frequency Transformer Design for Specific Static Magnetising and Leakage Inductances Using Combination of Multi-Layer Perceptron Neural Networks and FEM Simulations

Mohammadi, Parham; Samanbakhsh, Rahim; Koohi, Peyman; Ibanez, Federico Martin

doi:10.1109/pedg.2019.8807492

Cited by 3 publications

(2 citation statements)

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“…Neural networks have been used in modeling magnetic components. In [25] multilayer perceptron neural network has been used with a combination of finite element methods in order to calculate the leakage inductance of a transformer. While the results are promising, there are two major disadvantages associated with this methodology.…”

Section: Gyrator-capacitor Model 3 Reluctance Equivalent Circuitmentioning

confidence: 99%

GMDH Neural Networks - Based Modeling of Variable Power Inductor

Koohi¹,

Mohammadi²,

Samanbakhah³

et al. 2021

Preprint

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In this paper, the Group Method of Data Handling (GMDH) type of neural networks is used for the inductance calculation of variable inductors. The relation between the inductance of the inductor in the linear and nonlinear regions is investigated, and parameters such as the voltage across the inductor, bias current, and ac current are taken into account. The experimental setup is used for generating the data needed for training the neural network. Over 800 experiments were conducted and were used for training and validation of the neural network results. The results are compared with the reluctance equivalent circuit method, and they show a much better accuracy. The proposed method can be used for the calculation of various magnetic components, and it is not limited to variable inductors.

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Section: Gyrator-capacitor Model 3 Reluctance Equivalent Circuitmentioning

confidence: 99%

GMDH Neural Networks - Based Modeling of Variable Power Inductor

Koohi¹,

Mohammadi²,

Samanbakhah³

et al. 2021

Preprint

Self Cite

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“…The equivalent resistance of the transformer's magnetic core, R c , can be described by Equation (30), in which l m represents the average length that the magnetic flux describes in the magnetic core [40].…”

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confidence: 99%

High Frequency Transformers for Solid-State Transformer Applications

et al. 2023

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This paper focuses on the study of the high frequency transformer incorporated in solid- state transformers, specifically on the development of the steps that enable the design of an optimized high frequency transformer and its equivalent model based on the desired characteristics. The impact of operating a transformer at high frequency and the respective solutions that allow this impact to be reduced are analyzed, alongside the numerous advantages that the utilization of these transformers has over traditional 50/60 Hz transformers. Furthermore, the power scheme of the solid-state transformer is outlined, focusing on the power converters, which are immediately before and after the high frequency transformer (HFT). We also investigate a control technique that allows for correct operation and the existence of power bidirectionality. In a novel approach, this paper demonstrates the systematic steps for designing an HFT according to the desired specifications of each given project, helping students and engineers achieve their objectives in power-electronic applications. Moreover, this paper aims at increasing the knowledge of this area of power electronics and facilitating the development of new topologies with high power density, which are very important to the integration of renewable power sources and other applications. Finally, a simulation is presented to validate a high frequency transformer and its control technique.

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