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Cited by 19

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Sinusoidal Current Operation of Delay-Time Compensation for Parallel-Connected IGBTs

Alvarez, Rodrigo, Bernet, Steffen·2014·IEEE Transactions on Industry Applications
DOI 10.1109/tia.2014.2305905
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Abstract

The parallel connection of IGBTs is being applied in various low- and medium-voltage converters. The selection of the devices, the manual parametrization of gate units, and the substantial device derating are substantial disadvantages of state-of-the-art converters with parallel-connected insulated-gate bipolar transistors (IGBTs). A new, low-expensive, and automated delay-time compensation method without additional current measurements was introduced in the 2011 IEEE Energy Conversion Congress and Exposition. This paper briefly reviews the structure and function of this new scheme, shows the extension of the scheme for three parallel-connected IGBTs, and investigates the performance of the new delay-time compensation principle for sinusoidal current operation at different$\cos\phi$and$m_{a}$values, as in a converter for drives.

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Research works printed but not linked: 27

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  20. 2008, Igbt-die 5smy 12n4500
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Metadata

Authors
Alvarez, R., & Bernet, S.
Venue
IEEE Transactions on Industry Applications
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2014-09
Volume
50
Issue
5
Pages
3485-3493
ISSN
  • 0093-9994
  • 1939-9367
DOI
10.1109/tia.2014.2305905
Cited by
19
References
0
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)

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CoChat. (2026). Citation check: Sinusoidal Current Operation of Delay-Time Compensation for Parallel-Connected IGBTs. https://app.cochat.ai/papers/10.1109/tia.2014.2305905
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Alvarez, R., & Bernet, S. (2014). Sinusoidal Current Operation of Delay-Time Compensation for Parallel-Connected IGBTs. IEEE Transactions on Industry Applications. https://doi.org/10.1109/tia.2014.2305905

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.