A wide-band lumped circuit model of the terminal and internal electromagnetic response of coaxially insulated windings mounted on a core

2003 ◽  
Vol 13 (3) ◽  
pp. 141-149 ◽  
Author(s):  
P. Holmberg ◽  
M. Leijon
Keyword(s):  
Wide Band ◽  
Circuit Model ◽  
Electromagnetic Response ◽  
Lumped Circuit Model

scholarly journals A Broadband Enhanced Structure-Preserving Reduced-Order Interconnect Macromodeling Method for Large-Scale Equation Sets of Transient Interconnect Circuit Problems

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5746
Author(s):  
Ning Wang ◽  
Huifang Wang ◽  
Shiyou Yang
Keyword(s):  
Large Scale ◽  
Krylov Subspace ◽  
Equivalent Circuit Model ◽  
Order Reduction ◽  
Wide Band ◽  
Circuit Model ◽  
Band Frequency ◽  
Reduced Order ◽  
Structure Preserving ◽  
Expansion Point

In the transient analysis of an engineering power electronics device, the order of its equivalent circuit model is excessive large. To eliminate this issue, some model order reduction (MOR) methods are proposed in the literature. Compared to other MOR methods, the structure-preserving reduced-order interconnect macromodeling (SPRIM) based on Krylov subspaces will achieve a higher reduction radio and precision for large multi-port Resistor-Capacitor-Inductor (RCL) circuits. However, for very wide band frequency transients, the performance of a Krylov subspace-based MOR method is not satisfactory. Moreover, the selection of the expansion point in this method has not been comprehensively studied in the literature. From this point of view, a broadband enhanced structure-preserving reduced-order interconnect macromodeling (SPRIM) method is proposed to reduce the order of equation sets of a transient interconnect circuit model. In addition, a method is introduced to determine the optimal expansion point at each frequency in the proposed method. The proposed method is validated by the numerical results on a transient problem of an insulated-gate bipolar transistor (IGBT)-based inverter busbar under different exciting conditions.

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