Model-Free Predictive Control for Harmonic Suppression of PMSMs Based on Adaptive Resonant Controller

To simultaneously suppress the periodic and aperiodic disturbances experienced by permanent magnet synchronous motors in model predictive control, a model-free predictive current control with adaptive resonance control based on an ultra-local model is proposed. Firstly, the ultra-local models of the speed loop and the current loop are established respectively, and the unmodeled and uncertain unknown part <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">F</i> in the ultra-local model is estimated by using a high-order fast terminal sliding mode observer, and its stability is analyzed. Then, an adaptive resonant controller (ARC) is designed to suppress the periodic disturbance caused by the dead zone effect. The ARC and the model-free control based on the ultra-local model are combined to compensate for their respective shortcomings, achieving the suppression of periodic and aperiodic disturbances in the system. Finally, by comparing with the traditional duty cycle model predictive control and the model-free model predictive control without ARC, the proposed scheme is proved to be robust to periodic and aperiodic disturbances.

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Publication Details

Journal
IEEE Transactions on Energy Conversion
Published
2025-03-31
DOI
https://doi.org/10.1109/tec.2025.3555819
Citations
16
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
19.43

Funders

Controls
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article

Model-Free Predictive Control for Harmonic Suppression of PMSMs Based on Adaptive Resonant Controller

Vladimir Prakht, Galina Demidova, Anton Dianov, Jinlin Ma et al.
16 citations
IEEE Transactions on Energy Conversion
Iterative Learning Control Systems
19.43
article

Model-Free Predictive Control for Harmonic Suppression of PMSMs Based on Adaptive Resonant Controller

Vladimir Prakht, Galina Demidova, Anton Dianov, Jinlin Ma, Xiaodong Sun, Xuhao Zha, Teng Li, Zonghao Su
article en
16 citations

Abstract

To simultaneously suppress the periodic and aperiodic disturbances experienced by permanent magnet synchronous motors in model predictive control, a model-free predictive current control with adaptive resonance control based on an ultra-local model is proposed. Firstly, the ultra-local models of the speed loop and the current loop are established respectively, and the unmodeled and uncertain unknown part <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">F</i> in the ultra-local model is estimated by using a high-order fast terminal sliding mode observer, and its stability is analyzed. Then, an adaptive resonant controller (ARC) is designed to suppress the periodic disturbance caused by the dead zone effect. The ARC and the model-free control based on the ultra-local model are combined to compensate for their respective shortcomings, achieving the suppression of periodic and aperiodic disturbances in the system. Finally, by comparing with the traditional duty cycle model predictive control and the model-free model predictive control without ARC, the proposed scheme is proved to be robust to periodic and aperiodic disturbances.

IEEE Transactions on Energy ConversionVol. 40(4)
Jiangsu University (CN), Ural Federal University (RU), Wenzhou University (CN), ITMO University (RU)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 1%
Iterative Learning Control Systems
19.43
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