Broadband extended cantilever model for magnetic component windings

Abstract

The extended cantilever model is modified to enable broadband representation of multiple magnetic windings using -domain transfer functions. A linear formulation for extracting the parameters is proposed in which the current-sense impedances do not have to be assumed negligible. The model has been implemented in a circuit simulator that supports transfer function blocks. It has been verified experimentally using a five-winding power transformer. The experimental transformer is simulated embedded in a two-transistor forward converter to examine simulation speed and convergence issues.Index Terms-Broadband winding model, inductor model, magnetic winding model, transformer model.

Nonlinear Dynamic Transformer Time-Domain Identification for Power Converter Applications

“…This can be achieved by running different experiments, each of which is configured such that the response of some model parameters is dominant in the collected data while the effect of other parameters can be neglected. Though various experimental configurations, for example short circuiting the transformer winding, removing the ferrite core, using band-limited excitation signals, etc., have been studied in [4], [6], and [7], their performance is dependent on the transformer under test. For simplicity, each experiment in this paper is carried out by a random excitation signal in combination with a particular short circuiting arrangement.…”

“…In general, most studies focus either on extracting a frequency-dependent winding model with a linear core assumption [3]- [7], or on modeling nonlinear properties of a specific magnetic material using a highamplitude and high-frequency excitation voltage [8]- [12]. Although it is claimed in [14] and [15] that they are able to handle the frequency-dependent and hysteresis effects inside the transformer at the same time, their models are obtained from an analytical [13], [14] or numerical [15] approach, i.e., based on physical equations or finite-element analysis, rather than a measurement-based one.…”

“…For low-frequency applications, transformer winding model estimation has been widely studied using both time-and frequency-domain data [3], [4]. However, the studies for highfrequency transformers have been carried out in the frequency domain only [5]- [7]. The reason behind this selection is due to the advantages of data collection in frequency domain (by an impedance analyzer) over time domain (by an oscilloscope).…”

3-winding flyback transformer model extraction using time domain system identification

“…The topic of modeling and extracting models for a high frequency transformer has been investigated previously [2]- [5]. In general, most studies focus either on identifying a frequency-dependent winding model with an ideal core assumption using small signal excitation [4], [5], or on estimating a dynamic core loss model of a specific magnetic material using both high amplitude and high frequency voltage sources [6].…”

“…In general, most studies focus either on identifying a frequency-dependent winding model with an ideal core assumption using small signal excitation [4], [5], or on estimating a dynamic core loss model of a specific magnetic material using both high amplitude and high frequency voltage sources [6]. In fact, the transformer model obtained from the small signal assumption can be improved by replacing an ideal core model with a nonlinear one [7].…”