3-winding flyback transformer model extraction using time domain system identification

Tue T. Vu; Seamus O'Driscoll; John V. Ringwood

doi:10.1109/SPEEDAM.2012.6264539

3-winding flyback transformer model extraction using time domain system identification

Tue T. Vu
, Seamus O'Driscoll
, John V. Ringwood

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

For low frequency applications, transformer model extraction has been widely investigated using both time and frequency domain data. However, the studies for high frequency transformers have been carried out in the frequency domain only. The reason is due to the complications in acquiring time domain data for high frequency transformer model estimation. This paper presents a methodology to deal with the numerical difficulties associated with time domain data collection, and to obtain a frequency-dependent model of a 3-winding flyback transformer using time domain system identification techniques. The obtained transformer model is experimentally verified.

Original language	English
Title of host publication	SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion
Pages	458-463
Number of pages	6
DOIs	https://doi.org/10.1109/SPEEDAM.2012.6264539
Publication status	Published - 2012
Externally published	Yes
Event	21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2012 - Sorrento, Italy Duration: 20 Jun 2012 → 22 Jun 2012

Publication series

Name	SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion

Conference

Conference	21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2012
Country/Territory	Italy
City	Sorrento
Period	20/06/12 → 22/06/12

Keywords

Flyback transformers
frequency-dependent model
system identification
time domain

Access to Document

10.1109/SPEEDAM.2012.6264539

Cite this

Vu, T. T., O'Driscoll, S., & Ringwood, J. V. (2012). 3-winding flyback transformer model extraction using time domain system identification. In SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion (pp. 458-463). Article 6264539 (SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion). https://doi.org/10.1109/SPEEDAM.2012.6264539

Vu, Tue T. ; O'Driscoll, Seamus ; Ringwood, John V. / 3-winding flyback transformer model extraction using time domain system identification. SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion. 2012. pp. 458-463 (SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion).

@inproceedings{a62d3c0ab3a84f698fd73572bb53b63e,

title = "3-winding flyback transformer model extraction using time domain system identification",

abstract = "For low frequency applications, transformer model extraction has been widely investigated using both time and frequency domain data. However, the studies for high frequency transformers have been carried out in the frequency domain only. The reason is due to the complications in acquiring time domain data for high frequency transformer model estimation. This paper presents a methodology to deal with the numerical difficulties associated with time domain data collection, and to obtain a frequency-dependent model of a 3-winding flyback transformer using time domain system identification techniques. The obtained transformer model is experimentally verified.",

keywords = "Flyback transformers, frequency-dependent model, system identification, time domain",

author = "Vu, \{Tue T.\} and Seamus O'Driscoll and Ringwood, \{John V.\}",

year = "2012",

doi = "10.1109/SPEEDAM.2012.6264539",

language = "English",

isbn = "9781467312998",

series = "SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion",

pages = "458--463",

booktitle = "SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion",

note = "21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2012 ; Conference date: 20-06-2012 Through 22-06-2012",

}

Vu, TT, O'Driscoll, S & Ringwood, JV 2012, 3-winding flyback transformer model extraction using time domain system identification. in SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion., 6264539, SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion, pp. 458-463, 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2012, Sorrento, Italy, 20/06/12. https://doi.org/10.1109/SPEEDAM.2012.6264539

3-winding flyback transformer model extraction using time domain system identification. / Vu, Tue T.; O'Driscoll, Seamus; Ringwood, John V.
SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion. 2012. p. 458-463 6264539 (SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

TY - GEN

T1 - 3-winding flyback transformer model extraction using time domain system identification

AU - Vu, Tue T.

AU - O'Driscoll, Seamus

AU - Ringwood, John V.

PY - 2012

Y1 - 2012

N2 - For low frequency applications, transformer model extraction has been widely investigated using both time and frequency domain data. However, the studies for high frequency transformers have been carried out in the frequency domain only. The reason is due to the complications in acquiring time domain data for high frequency transformer model estimation. This paper presents a methodology to deal with the numerical difficulties associated with time domain data collection, and to obtain a frequency-dependent model of a 3-winding flyback transformer using time domain system identification techniques. The obtained transformer model is experimentally verified.

AB - For low frequency applications, transformer model extraction has been widely investigated using both time and frequency domain data. However, the studies for high frequency transformers have been carried out in the frequency domain only. The reason is due to the complications in acquiring time domain data for high frequency transformer model estimation. This paper presents a methodology to deal with the numerical difficulties associated with time domain data collection, and to obtain a frequency-dependent model of a 3-winding flyback transformer using time domain system identification techniques. The obtained transformer model is experimentally verified.

KW - Flyback transformers

KW - frequency-dependent model

KW - system identification

KW - time domain

UR - https://www.scopus.com/pages/publications/84866951896

U2 - 10.1109/SPEEDAM.2012.6264539

DO - 10.1109/SPEEDAM.2012.6264539

M3 - Conference proceeding

AN - SCOPUS:84866951896

SN - 9781467312998

T3 - SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion

SP - 458

EP - 463

BT - SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion

T2 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2012

Y2 - 20 June 2012 through 22 June 2012

ER -

Vu TT, O'Driscoll S, Ringwood JV. 3-winding flyback transformer model extraction using time domain system identification. In SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion. 2012. p. 458-463. 6264539. (SPEEDAM 2012 - 21st International Symposium on Power Electronics, Electrical Drives, Automation and Motion). doi: 10.1109/SPEEDAM.2012.6264539

3-winding flyback transformer model extraction using time domain system identification

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this