DocumentCode :
82363
Title :
Frequency-Domain Maximum-Likelihood Estimation of High-Voltage Pulse Transformer Model Parameters
Author :
Aguglia, Davide ; Viarouge, Philippe ; de Almeida Martins, Carlos
Author_Institution :
Eur. Organ. for Nucl. Res. (CERN), Geneva, Switzerland
Volume :
49
Issue :
6
fYear :
2013
fDate :
Nov.-Dec. 2013
Firstpage :
2552
Lastpage :
2561
Abstract :
This paper presents an offline frequency-domain nonlinear and stochastic identification method for equivalent model parameter estimation of high-voltage pulse transformers. Such kinds of transformers are widely used in the pulsed-power domain, and the difficulty in deriving pulsed-power converter optimal control strategies is directly linked to the accuracy of the equivalent circuit parameters. These components require models which take into account electric fields energies represented by stray capacitance in the equivalent circuit. These capacitive elements must be accurately identified, since they greatly influence the general converter performances. A nonlinear frequency-based identification method, based on maximum-likelihood estimation, is presented, and a sensitivity analysis of the best experimental test to be considered is carried out. The procedure takes into account magnetic saturation and skin effects occurring in the windings during the frequency tests. The presented method is validated by experimental identification of a 2-MW-100-kV pulse transformer.
Keywords :
capacitance; electric fields; equivalent circuits; frequency-domain analysis; maximum likelihood estimation; nonlinear control systems; optimal control; power convertors; pulse transformers; pulsed power supplies; sensitivity analysis; skin effect; transformer windings; electric field energy; equivalent circuit parameter; equivalent model parameter estimation; frequency-domain maximum-likelihood estimation; frequency-domain nonlinear identification method; frequency-domain stochastic identification method; high-voltage pulse transformer model parameter; magnetic saturation; optimal control strategy; pulsed-power converter; sensitivity analysis; skin effect; stray capacitance; winding; Circuit faults; Equivalent circuits; Integrated circuit modeling; Pulse transformers; Saturation magnetization; Skin effect; Windings; High-voltage (HV) techniques; identification; maximum-likelihood (ML); optimization methods; pulse transformers;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2013.2265213
Filename :
6522186
Link To Document :
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