Predictive Current Control in a Multi-Modular 3-Level Indirect Matrix Converter With Mutual Error Compensation and Fault Tolerance

A predictive current control design for a multi-modular indirect matrix converter using a three-level neutral-point clamped for the inverter side is studied. The multi-modular topology is based on two 3-Level Indirect Matrix Converter modules, and the control strategy proposal involves a single model-based predictive current control and the use of a coupled current signal. It is the interaction between the two three-phase output current of each module for error compensation between these, along with the ability to operate in failures. This article shows the results of the simulation in Matlab/Simulink of the 3-level multi-modular indirect matrix converter with coupled control, compared with an independent control for each module of the converter, in order to verify the performance obtained in terms of total harmonic distortion and mean square error. In addition, the analysis was carried out with respect to the behavior in transient, stationary state and with simulated failures for each module. The results obtained support the effectiveness of the control strategy with the proposed topology showing, with the control coupled, a decrease in the mean square error in the current signal of the final load, having a good value of total harmonic distortion and the capacity for optimal operation in the event of failures of the generation or conversion system.

Authors

Institutions

Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10984078
Primary Topic
Multilevel Inverters and Converters
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive Current Control in a Multi-Modular 3-Level Indirect Matrix Converter With Mutual Error Compensation and Fault Tolerance

Sérgio Toledo, Jorge Rodas, Edgar Maqueda, David Caballero et al.
Multilevel Inverters and Converters
article

Predictive Current Control in a Multi-Modular 3-Level Indirect Matrix Converter With Mutual Error Compensation and Fault Tolerance

Sérgio Toledo, Jorge Rodas, Edgar Maqueda, David Caballero, Marco Rivera, Raúl Gregor, Fabian Palacios-Pereira, Néstor Pérez-Sosa
article en

Abstract

A predictive current control design for a multi-modular indirect matrix converter using a three-level neutral-point clamped for the inverter side is studied. The multi-modular topology is based on two 3-Level Indirect Matrix Converter modules, and the control strategy proposal involves a single model-based predictive current control and the use of a coupled current signal. It is the interaction between the two three-phase output current of each module for error compensation between these, along with the ability to operate in failures. This article shows the results of the simulation in Matlab/Simulink of the 3-level multi-modular indirect matrix converter with coupled control, compared with an independent control for each module of the converter, in order to verify the performance obtained in terms of total harmonic distortion and mean square error. In addition, the analysis was carried out with respect to the behavior in transient, stationary state and with simulated failures for each module. The results obtained support the effectiveness of the control strategy with the proposed topology showing, with the control coupled, a decrease in the mean square error in the current signal of the final load, having a good value of total harmonic distortion and the capacity for optimal operation in the event of failures of the generation or conversion system.

University of Nottingham (GB), Universidad Nacional de Asunción (PY)
Consejo Nacional de Ciencia y Tecnología, Agencia Nacional de Investigación y Desarrollo
Openalex Percentile: Top 72%
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.