2010
DOI: 10.1109/tps.2010.2048723
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Modeling and Simulation of Simple Flux-Trapping FCGs Utilizing PSpice Software

Abstract: A novel modeling and simulation method for fluxtrapping flux-compression generators (FT-FCGs) is presented, which utilizes PSpice circuit-simulation software to solve complex differential equations derived from circuit analysis. The primary motivation for the model development is the desire for a technique to rapidly design and prototype FT-FCGs for use as drivers in high-power microwave sources. The derivation of FT-FCG equations will be given, both in the ideal (lossless) and nonideal cases. For the nonideal… Show more

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Cited by 9 publications
(8 citation statements)
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“…Here, 3 recent transformers, CMOS gyrator-C based on-chip monolithic active transformer [7], dynamic transformer for flux-trapping flux-compression generator (FT-FCG) [16], and fractional-order mutual inductance, have been chosen. These transformers respectively have frequency dependent parameters, time dependent parameters, and fractional impedances.…”
Section: Examples Of Applicationmentioning
confidence: 99%
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“…Here, 3 recent transformers, CMOS gyrator-C based on-chip monolithic active transformer [7], dynamic transformer for flux-trapping flux-compression generator (FT-FCG) [16], and fractional-order mutual inductance, have been chosen. These transformers respectively have frequency dependent parameters, time dependent parameters, and fractional impedances.…”
Section: Examples Of Applicationmentioning
confidence: 99%
“…Consider the candidate dynamic transformer which has a single input and single output [16]. It can be seen that N = 1 and M = 1 for this transformer.…”
Section: Examples Of Applicationmentioning
confidence: 99%
See 2 more Smart Citations
“…Even there are a few methods for this kind of FCGs, most of them are either complex or time consuming for simulation. [2][3][4][5][6][7] Therefore, the purpose of this paper is to present a simple simulation model in full detail for flux trapping cascaded FCGs, which can provide a fast and relatively accurate prediction for design purpose.…”
Section: Introductionmentioning
confidence: 99%