Open AccessExperimental evaluation of predictive voltage control for a four‐leg two‐stage matrix converter
Author(s) -
Garcia Cristian,
Rivera Marco,
Rodriguez Jose,
Wheeler Pat
Publication year - 2019
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2018.6378
Subject(s) - model predictive control , converters , control theory (sociology) , voltage , network topology , minimisation (clinical trials) , computer science , matrix (chemical analysis) , control (management) , engineering , mathematics , artificial intelligence , statistics , materials science , electrical engineering , composite material , operating system
Model predictive control (MPC) has emerged as a real alternative for the control of different topologies of power converters. In particular, MPC has been successfully applied in matrix converters, significantly reducing the difficulty of control compared with classical techniques. In this study, a predictive voltage control strategy for a four‐leg indirect matrix converter is proposed. The idea is based on the discrete minimisation of a cost function in order to select the best vector state of the power converter to be applied in the next sampling instant. Experimental results are presented to validate the proposal under several operating points.