Sensorless Model-Free Predictive Control of Permanent Magnet Synchronous Motor

Model-free predictive control has demonstrated robust performance while maintaining the benefits of predictive control, including precision and rapid transient response. This technique has recently been successfully investigated to control permanent magnet synchronous motors. Thus, it is time to study the implementation of model-free control in advanced motor drives, such as sensorless drives. This article proposes a sensorless model-free predictive control for permanent magnet motor drives. The proposed method uses an ultralocal model to estimate back electromotive force and utilizes the same model for predicting current. The local parameters of the model are adjusted using the infinity norm technique to ensure the robustness of the control law. The validity of the proposed method is confirmed through experimental results.

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Publication Details

Journal
IEEE Transactions on Industrial Electronics
Published
2025-10-15
DOI
https://doi.org/10.1109/tie.2025.3589366
Citations
1
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.73
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Sensorless Model-Free Predictive Control of Permanent Magnet Synchronous Motor

1 citations
IEEE Transactions on Industrial Electronics
Sensorless Control of Electric Motors
0.73
article

Sensorless Model-Free Predictive Control of Permanent Magnet Synchronous Motor

article en
1 citations

Abstract

Model-free predictive control has demonstrated robust performance while maintaining the benefits of predictive control, including precision and rapid transient response. This technique has recently been successfully investigated to control permanent magnet synchronous motors. Thus, it is time to study the implementation of model-free control in advanced motor drives, such as sensorless drives. This article proposes a sensorless model-free predictive control for permanent magnet motor drives. The proposed method uses an ultralocal model to estimate back electromotive force and utilizes the same model for predicting current. The local parameters of the model are adjusted using the infinity norm technique to ensure the robustness of the control law. The validity of the proposed method is confirmed through experimental results.

IEEE Transactions on Industrial ElectronicsVol. 73(2)
Universidad Andrés Bello (CL), University of Nottingham (GB), Chinese Academy of Sciences (CN), San Sebastián University (CL), Quanzhou Institute of Equipment Manufacturing Haixi Institute (CN), Shahid Rajaee Teacher Training University (IR)
Peace, Justice and strong institutions
Openalex Percentile: Top 21%
Sensorless Control of Electric Motors
0.73
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Sensorless Model-Free Predictive Control of Permanent Magnet Synchronous Motor · IEEE Transactions on Industrial Electronics (2025) | TGRS Research Map | TGRS