Accurate Modeling of Radiated Electromagnetic Field by a Coil With a Toroidal Ferromagnetic Core

In the electromagnetic compatibility (EMC) behavior of power electronic converters, magnetic parasitic couplings between components are one of the main causes of dysfunctions or bad filtering (e.g., in EMC filter). These couplings could be as conducted or near-field interferences. In order to handle interaction problems, a complete knowledge of these magnetic couplings is then necessary. Our study is focused on near magnetic field's interferences. Indeed, the characterization of electromagnetic field in power electronics is still in active research. This paper details a predictive method that calculates accurately and efficiently the near magnetic field coupling between two sources. By using the near-field multipolar expansion in spherical harmonics of electromagnetic sources, the close magnetic coupling between two sources is determined from their equivalent model. It is shown that the increase in degree up to the fourth provides a more precise representation of the elements and thus a better accuracy of the near-field coupling prediction. Also, theoretical and experimental developments will be presented. The coupling between two complex sources will be considered to validate the predictive method.Index Terms-Electromagnetic compatibility (EMC), near magnetic field coupling, power electronic, spherical harmonic.

Section: ) Remarkssupporting

confidence: 90%

Near Magnetic Field Coupling Prediction Using Equivalent Spherical Harmonic Sources

Hoang¹,

Bréard²,

Vollaire³

2014

“…This method provides interesting (quantitative and qualitative) indications about the correlation level between measured and modeled magnetic field distributions [22]. The FSV has been successfully applied on the characterization of radiated EM fields from toroidal cores in [23]. Fig.…”

Section: Resultsmentioning

confidence: 99%

Detection of Electromagnetic Radiations Sources at the Switching Time Scale Using an Inverse Problem-Based Resolution Method—Application to Power Electronic Circuits

Beghou

Costa

Pichon

2015

Self Cite

This paper presents a detailed study about the characterization of electromagnetic near-fields emitted from power electronic circuits. The approach proposed here provides a radiation model, which verifies the uniqueness of the solution using an inverse problem-based resolution method. For this purpose, the characterization method has been combined with an experimental mapping realized at the switching time scale. This mapping is based on a Fourier analysis applied on the measurements acquired from the device under study. It allowed us to trace a prior radiations map over the device under study. This radiation map is then exploited in order to validate the uniqueness of the final result, a result that has been obtained by solving the inverse problem using a genetic algorithm (GA) to optimize the highly nonlinear fitness function. The precision and the accuracy of the method have been validated by the superposition of the obtained radiation models over the circuit topology. The correlation between the sources parameters (position, orientation, geometrical parameters and currents) and the parameters corresponding to the components located at the regions defined by the radiation map has been successfully performed. This allowed us to confirm that the physical reality is respected, and to assume that we have reached the uniqueness of the solution.

“…GECKO-EMC software-based electromagnetic modeling of the switch mode power supply and the printed circuit board (PCB) layout have been presented in [15] and [16]. A similar type of modeling using COMSOL three-dimensional (3-D) has been provided in [17]. Another 3-D electromagnetic modeling-based approach has been presented for the determination of the parasitic components in a circuit in [18] and [19].…”

Section: B Prediction Of Emi Noisementioning

confidence: 99%

Wavelet Transform-Based <sc>EMI</sc> Noise Mitigation in Power Converter Topologies

Alam

Mukul

Thakura

2016

This paper proposes a novel wavelet transform-based approach for electromagnetic interference (EMI) noise mitigation in power electronics topologies. The switching action of power semiconductor devices generates EMI in power converter modules which exceeds the noise limit set by the regulation of CISPR11. In order to cancel the EMI noise, the wavelet transform-based timefrequency localization approach has been used for generating a noise cancellation signal. The effectiveness of the proposed method has been evaluated in the terms of signal-to-noise ratio (SNR). Further, the effect of variance of the noise amplitude has been taken into consideration on the SNR. A relationship between the standard deviation, which is proportional to square root of the variance of the signal, and the SNR has been established. The proposed method has been implemented on the different power electronics topologies such as buck converter, boost converter, three-phase voltage source inverter, and Z-source inverter-based ac drive. The proposed method achieves the reduction of noise level below the safe limit set by CISPR11.Index Terms-Boost converter, buck converter, EMI, morlet wavelet, signal-to-noise ratio, three-phase voltage source inverter, wavelet transform, Z-source inverter.