Applying Response Surface Methodology to Small Planar Transformer Winding Design

Cove, Samuel R.; Ordonez, Martin; Luchino, Federico; Quaicoe, John E.

doi:10.1109/tie.2012.2187416

Cited by 67 publications

(29 citation statements)

References 30 publications

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“…5 is proposed, as other circuit models found in literature [8,12,14,[26][27][28] use a magnetizing inductance approach that is unable to model the resonance mechanism between the secondary winding inductance and secondary self-capacitance, which is critical to analytically determine their impact on bandwidth. The non-ideal coupling behavior is captured by the inclusion of a leakage inductance element.…”

Section: The Equivalent Electrical Circuit Modelmentioning

confidence: 99%

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The Influence of Dielectric Thickness on the Power Bandwidth of Planar Transformers

Vallabhapurapu¹,

Hofsajer²

2018

PIER C

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Abstract-This paper considers an ideal planar transformer wherein only the electromagnetic parasitics (stray capacitive and leakage inductance) arising out of the transformer geometry are taken into account, assuming lossless conditions. A suitable electrically equivalent circuit model for the planar transformer is used to analyze its frequency and power transfer characteristics; this model was validated by a three dimensional electromagnetic simulation of the planar transformer structure in FEKO electromagnetic simulation software. The effect of dielectric thickness on the bandwidth of the transformer has been analyzed based on the premise that the inherent stray capacitance and leakage inductance elements would affect the power transfer characteristics of the transformer. It has been found that the dielectric thickness of a planar transformer can be optimized so as to maximize the frequency bandwidth. It is also shown that the bandwidth is found to be sensitive to the thickness of the dielectric beyond the optimum thickness threshold t opt . Convenient closed form analytic expressions for the optimum dielectric thickness and the resultant maximum bandwidth are derived and presented. It is argued that these results can be readily used to benefit the design of air-core PCB/Planar transformers.

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Section: The Equivalent Electrical Circuit Modelmentioning

confidence: 99%

“…Many authors [5,9,[13][14][15] cite these characteristics as main reasons to use planar transformers in switched-mode power supplies; the same has allowed authors to develop planar transformers for applications in aerospace [16] and consumer electronics [15,17,18].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Dielectric Thickness on the Power Bandwidth of Planar Transformers

Vallabhapurapu¹,

Hofsajer²

2018

PIER C

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“…and can optimize a large number of parameters at the same time. As examples, it has high performance and can optimize the design issue of electrical machines, transformers, actuators [7][8][9][10][11][12]. DoE applications in power electronic devices are described in [13][14][15], while optimal charging patterns for batteries were discussed in [17].…”

Section: Principles Of the Doementioning

confidence: 99%

Modeling iron, mechanical and rotor copper losses in induction machine with the design of experiments

Chrin

David

Maussion

et al. 2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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In the field of optimization of hybrid renewable energy systems, maximum power extraction is still an important issue. For simulation purposes, accurate models are needed including all the losses in the different components of such systems. Among them, iron, mechanical and rotor copper losses in electrical machines are not always taken into account and are rather difficult to evaluate at variable speed and with PWM supply. This paper presents a practical and easy way for global loss modeling of an induction machine with the help of the Design of Experiments. This technique is simple since it requires a limited number of experiments and it provides the possibility to take into account several factors and their interactions.

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“…The optimization procedure is based on a response surface methodology (RSM). This methodology is used to construct computationally cheaper models which can be used for the optimization of system performance [9]- [11]. The response surface models are obtained by fitting a 2 nd order polynomial to the extracted parameter values of the equivalent circuit model.…”

Section: Introductionmentioning

confidence: 99%

IC-Stripline design optimization using response surface methodology

Mandic

Gillon

Barić

2013

2013 9th International Workshop on Electromagnetic Compatibility of Integrated Circuits (EMC Compo)

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This paper presents design optimization of closed version of an IC-Stripline. The geometrical parameters of the ICStripline are optimized in order to improve VSWR performance in the frequency range up to 6 GHz. Since the optimization performed directly in 3D EM simulator is computationally expensive, the response surface methodology (RSM) based on design of experiment (DOE) is used to develop surrogate models and to accelerate IC-Stripline design optimization. The design of experiment approach is used to systematically vary geometrical parameters of the IC-Stripline structure which are then simulated in a 3D electromagnetic simulator. The equivalent model circuit parameters are extracted according to the 3D EM simulation results. The response surface formed by the extracted parameter values is modelled using a higher order polynomial. The VSWR optimization of the IC-Stripline is performed by optimizing the equivalent circuit model having the parameters defined by the response surface models. The proposed design of the ICStripline shows the improvement in VSWR performance over the frequency range up to 6 GHz.

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Applying Response Surface Methodology to Small Planar Transformer Winding Design

Cited by 67 publications

References 30 publications

The Influence of Dielectric Thickness on the Power Bandwidth of Planar Transformers

The Influence of Dielectric Thickness on the Power Bandwidth of Planar Transformers

Modeling iron, mechanical and rotor copper losses in induction machine with the design of experiments

IC-Stripline design optimization using response surface methodology

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