Abstract
PurposeThe scope of the work is to provide an identification procedure for an hysteresis model based on nonlinear circuit cells.Design/methodology/approachAn identification procedure for an hysteresis model based on nonlinear circuit cells is presented. The response of elementary cell is equal to a generalized play operator. The procedure allows the identification of the limit symmetric hysteresis loop and of minor loops. The identification procedure is based on the relationship between the circuit parameters and the discretization of the first derivative of the BH curve by means of a staircase function.FindingsThe model obtained is employed for the simulation of soft magnetic composite material cores under different supply voltage waveforms. The proposed identification procedure is able to define an accurate model of an hysteretic material with a low number of elemental network cells. The identification algorithm is simple and makes use of the limit hysteresis cycle only. Symmetric minor loops are used to tune “soft” operators for the correct reconstruction of cycles which do not reach saturation.Research limitations/implicationsThe model is limited to scalar and static hysteresis model.Practical implicationsThe model obtained can be used in network simulator like SPICE in order to model circuits in which magnetic devices are involved.Originality/valueThe circuit hysteresis model has been presented in literature, while its identification is newly proposed by the authors.
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More From: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering
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