1992
DOI: 10.1109/20.179464
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Three-dimensional nonlinear finite element modeling of a voltage source excited transformer feeding a rectifier load

Abstract: A h h d -A novel approach to model the coupling (loading effectr) in t r d o r m u r feeding switching loads is presented. In this approach t r d e r functioxu and nonlinear V-I relationships are used to model a voltage source excited three-dimensional transformer model. Three load C M C~ of the transformer model are considered: (1) no load, (2) linear load, and (3) rectifier load. The results obtained from the three load cues demonstrate that coupling (loading) effects are accounted for in the modeling approa… Show more

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Cited by 10 publications
(2 citation statements)
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“…In the direct approach, coupling is accounted for by adding the external circuit currents as unknowns directly into the finite-element matrix equation [5], or through the modeling of the circuit elements with zero-dimensional finite elements [6]. The direct approach requires extensive computational time and memory storage space to account for motion and magnetic material nonlinearities.…”
Section: Integrated Finite-elements/state-space Modeling Environmentmentioning
confidence: 99%
See 1 more Smart Citation
“…In the direct approach, coupling is accounted for by adding the external circuit currents as unknowns directly into the finite-element matrix equation [5], or through the modeling of the circuit elements with zero-dimensional finite elements [6]. The direct approach requires extensive computational time and memory storage space to account for motion and magnetic material nonlinearities.…”
Section: Integrated Finite-elements/state-space Modeling Environmentmentioning
confidence: 99%
“…For the learning rate, the mutation was constructed so that the range of the mutated values remained in the range of [0,1]. The following equation describes the mutation for the learning rate and momentum: (6) where is a normal random number with a mean of one and a standard deviation of 0.1. This relation ensures that a value in the range [0,1] remains in that range and that the affect on the variable is symmetric with respect to the midpoint of the range of values.…”
Section: Neurogenetic Modelmentioning
confidence: 99%