Direct Model-Based Predictive Current Control with Variable Parameters for Induction Machines

This paper presents several direct model-based predictive current control (D-MPCC) approaches with variable parameters for induction machines (IM). The term “variable parameters” specifically refers to the variable switching point and the variable weighting factor. Experimental results are provided to compare the strengths and limitations of each method.

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Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/precede63178.2025.11131014
Primary Topic
Multilevel Inverters and Converters
Type
article
Field-Weighted Citation Impact
0.00

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article

Direct Model-Based Predictive Current Control with Variable Parameters for Induction Machines

Yongdong Li, Qing Chen, Ralph Kennel, José Rodríguez
Multilevel Inverters and Converters
article

Direct Model-Based Predictive Current Control with Variable Parameters for Induction Machines

Yongdong Li, Qing Chen, Ralph Kennel, José Rodríguez
article en

Abstract

This paper presents several direct model-based predictive current control (D-MPCC) approaches with variable parameters for induction machines (IM). The term “variable parameters” specifically refers to the variable switching point and the variable weighting factor. Experimental results are provided to compare the strengths and limitations of each method.

San Sebastián University (CL), Technical University of Munich (DE), Tsinghua University (CN)
Agencia Nacional de Investigación y Desarrollo
Openalex Percentile: Top 78%
Multilevel Inverters and Converters
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