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Cited by 535

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Virtual flux based direct power control of three-phase PWM rectifiers

Malinowski, M., Kazmierkowski, M.P., Hansen, S., Blaabjerg, F., Marques, G.·2002·Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129)

Abstract

In this paper direct power control (DPC) of three-phase PWM rectifiers without line voltage sensors is presented. The new system is based on virtual flux (VF) estimation. The theoretical principle of this method is discussed. The steady state and dynamic behaviour of VF-DPC are presented that illustrate the operation and performance of the proposed system compared to a conventional DPC method. Both strategies are also investigated under unbalance and pre-distorted grid. It is shown that VF-DPC exhibits several advantages, particularly providing sinusoidal line current when supply voltage is not ideal. Some test results show the excellent performance of the proposed system.

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Metadata

Authors
Malinowski, M., Kazmierkowski, M. P., Hansen, S., Blaabjerg, F., & Marques, G.
Venue
Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129)
Publisher
IEEE
Published
2002-11-07
Volume
4
Pages
2369-2375
OpenAlex
W2159532771
Cited by
535
References
0
FWCI
14.96
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Virtual flux based direct power control of three-phase PWM rectifiers. https://app.cochat.ai/papers/10.1109/ias.2000.883155
The paper
Malinowski, M., Kazmierkowski, M. P., Hansen, S., Blaabjerg, F., & Marques, G. (2002). Virtual flux based direct power control of three-phase PWM rectifiers. Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129). https://doi.org/10.1109/ias.2000.883155

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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.