Open AccessModel predictive control for reduced matrix converter with transformer DC magnetic bias suppression
Author(s) -
Song WeiZhang,
Liu Jiang,
Gao DaQing,
Wu FengJun,
Wang YouYun
Publication year - 2018
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.0036
Subject(s) - control theory (sociology) , transformer , forward converter , computer science , control (management) , electrical engineering , boost converter , engineering , voltage , artificial intelligence
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.