An Indirect Model Predictive Control for Matrix Converters

This paper proposes an indirect model predictive control (MPC) approach for matrix converters. This approach maintains a fixed switching frequency and achieves a low harmonic distortion in both the voltage and current, thereby overcoming the main limitations of conventional direct MPC. More importantly, the proposed strategy improves the stability margin and control bandwidth compared to conventional proportional-integral (PI)-based linear controllers. Consequently, the output current of the converter—and thus its power—can be increased, enabling more effective utilization of the hardware. To verify these findings, the proposed indirect MPC scheme is implemented on a low-cost control platform operating at a 10 kHz sampling frequency. The presented results demonstrate that the required computation time of approximately <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$50 \mu\mathrm{s}$</tex>, when a three-step horizon is considered, is well within the capabilities of the chosen platform, confirming its real-time feasibility.

Authors

Institutions

Publication Details

Published
2025-10-19
DOI
https://doi.org/10.1109/ecce58356.2025.11259860
Primary Topic
Multilevel Inverters and Converters
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Indirect Model Predictive Control for Matrix Converters

Andrea Formentini, Mario Marchesoni, Massimiliano Passalacqua, Πέτρος Καραμανάκος et al.
Multilevel Inverters and Converters
article

An Indirect Model Predictive Control for Matrix Converters

Andrea Formentini, Mario Marchesoni, Massimiliano Passalacqua, Πέτρος Καραμανάκος, Beining Dai
article en

Abstract

This paper proposes an indirect model predictive control (MPC) approach for matrix converters. This approach maintains a fixed switching frequency and achieves a low harmonic distortion in both the voltage and current, thereby overcoming the main limitations of conventional direct MPC. More importantly, the proposed strategy improves the stability margin and control bandwidth compared to conventional proportional-integral (PI)-based linear controllers. Consequently, the output current of the converter—and thus its power—can be increased, enabling more effective utilization of the hardware. To verify these findings, the proposed indirect MPC scheme is implemented on a low-cost control platform operating at a 10 kHz sampling frequency. The presented results demonstrate that the required computation time of approximately <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$50 \mu\mathrm{s}$</tex>, when a three-step horizon is considered, is well within the capabilities of the chosen platform, confirming its real-time feasibility.

Tampere University (FI), University of Genoa (IT)
Openalex Percentile: Top 62%
Multilevel Inverters and Converters
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

An Indirect Model Predictive Control for Matrix Converters — Andrea Formentini, Mario Marchesoni, et al. · (2025) | TGRS Research Map | TGRS