@inproceedings{dffc866b4c1a4963928f000171270df8,
title = "Sequential model predictive control of direct matrix converter without weighting factors",
abstract = "The direct matrix converter (MC) is a promising converter that performs direct AC-to-AC conversion. Model predictive control (MPC) is a simple and powerful control strategy for power electronic converters including the MC. However, weighting factor design and heavy computational burden impose significant challenges for this control strategy. This paper investigates the sequential MPC (SMPC) for a three-phase direct MC. In this control strategy, each control objective has an individual cost function and these cost functions are evaluated sequentially based on priority. The complex weighting factor design process is not required and the computational burden can be reduced. In addition, specifying the priority for control objectives can be achieved. A comparative simulation study with standard MPC is carried out in Matlab/Simulink. Control performance is compared to the standard MPC and found to be comparable. Simulation results verify the effectiveness of the proposed strategy.",
keywords = "Matrix Converter, Model Predictive Control (MPC), Sequential Model Predictive Control (SMPC), Weighting Factor",
author = "Jianwei Zhang and Li Li and Margarita Norambuena and Jose Rodriguez and Dorrell, \{David G.\}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 ; Conference date: 20-10-2018 Through 23-10-2018",
year = "2018",
month = dec,
day = "26",
doi = "10.1109/IECON.2018.8592697",
language = "English",
series = "Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1477--1482",
booktitle = "Proceedings",
address = "United States",
}