Model predictive control for reduced matrix converter with transformer DC magnetic bias suppression

Wei-Zhang Song; Jiang Liu; Da-Qing Gao; Feng-Jun Wu; You-Yun Wang

Model predictive control for reduced matrix converter with transformer DC magnetic bias suppression

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Author(s): Wei-Zhang Song^{1, 2} ; Jiang Liu¹ ; Da-Qing Gao³ ; Feng-Jun Wu³ ; You-Yun Wang²
- Affiliations: 1: Department of Electrical Engineering , Xi'an University of Technology , Xi'an , Shaanxi , People's Republic of China ;
  2: State Key Laboratory of Large Electric Drive System and Equipment Technology , Tianshui , Gansu , People's Republic of China ;
  3: Institute of Modern Physics , Lan zhou , Gansu , People's Republic of China
Source: Volume 2018, Issue 13, 2018, p. 642 – 649
DOI: 10.1049/joe.2018.0036 , Online ISSN 2051-3305

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)

Received 10/01/2018, Accepted 17/01/2018, Published 01/03/2018

This study presents a model predictive control (MPC) considering transformer DC magnetic bias for a reduced matrix converter (RMC). The control scheme selects the switching state that minimises the error in the output current and input instantaneous reactive according to their reference values; furthermore, the pulse sequence in MPC has been re-distributed to suppress the DC magnetic bias in transformer for RMC. MPC also presents stronger immunity to the influence of abnormal input voltage than bipolar space vector modulation strategy. Moreover, the simple performance comparison between RMC and pulse-width modulated rectifier + dual active bridge was provided. The feasibility and validity of the proposed control scheme in an RMC has been verified by simulation results.

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Model predictive control for reduced matrix converter with transformer DC magnetic bias suppression

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