Open AccessPreselection algorithm based on predictive control for direct matrix converter
Author(s) -
Dan Hanbing,
Zhu Qi,
Peng Tao,
Yao Sun,
Wheeler Patrick
Publication year - 2017
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2016.0473
Subject(s) - model predictive control , waveform , control theory (sociology) , control (management) , matrix (chemical analysis) , power (physics) , function (biology) , converters , sample (material) , algorithm , computer science , engineering , artificial intelligence , voltage , electrical engineering , materials science , composite material , chemistry , physics , chromatography , quantum mechanics , evolutionary biology , biology
This study presents an enhanced predictive control strategy to reduce the calculation effort for direct matrix converters. The main idea is to preselect the switching states to decrease the calculation effort during each sample period. The proposed preselection algorithm enables a predefined cost function to consider only the preselected switching states to perform the expected control. On the basis of the preselection of switching states at each sample period, the proposed method can effectively reduce the calculation effort as well as show a good performance. The proposed predictive control scheme uses only preselected switching states to generate the desired source/load current waveforms and control the input power factor. The feasibility of the proposed method is experimentally verified and results are presented in the study.