Open AccessA predictive control method for reducing power backflow in DC/AC matrix converter
Author(s) -
Zhipeng Xia,
Ping Jin,
Ling Chang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2087/1/012041
Subject(s) - backflow , control theory (sociology) , model predictive control , converters , power (physics) , pid controller , voltage , computer science , engineering , physics , control (management) , control engineering , electrical engineering , temperature control , mechanical engineering , quantum mechanics , artificial intelligence , inlet
In recent years, DC/AC matrix converter with higher power density have become an attractive alternative to traditional voltage source converters. The traditional PI control has been employed to achieve accurate control, but its dynamic response and stability need to be improved. In this paper, a model predictive control (MPC) with reducing power backflow is introduced in an isolated DC/AC matrix converter with a loosely coupled high-frequency transformer (LCHFT). Prediction model and optimal function model are established to improve the dynamic response of the system and reduce the power backflow.