Dead-Beat Predictive Current Control for OW-PMSM Drives with Robustness Improvement Based on Sliding Mode Observer

The deadbeat predictive current control (DPCC) method has excellent dynamic effects. However, it's highly sensitive to parameter mismatches, which can have significant impacts on the control system in practical applications. To overcome this challenge, this paper introduces a DPCC method enhanced with sliding mode techniques to improve robustness in common DC bus open-winding permanent magnet synchronous motor (OW-PMSM). A key innovation involves the development of an adaptive current and disturbance observer (ACDO) utilizing sliding-mode exponential dynamics. This observer enables simultaneous prediction of stator current and zero-sequence current (ZSC) trajectories while monitoring parameter mismatch-induced disturbances in real time. Next, the one-step delay compensation in model prediction is replaced by the predicted current from the observer, eliminating the need for additional delay design. Real-time disturbances from the observer are used as feedforward terms in the DPCC controller for compensation. After calculating the reference voltage, the voltage vector is redistributed, and the zero-sequence voltage (ZSV) generated by modulating effective voltage vectors counteracts the third-harmonic back electromotive force (EMF).

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Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/precede63178.2025.11131029
Primary Topic
Iterative Learning Control Systems
Type
article
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article

Dead-Beat Predictive Current Control for OW-PMSM Drives with Robustness Improvement Based on Sliding Mode Observer

José Rodríguez, Xiaoguang Zhang, Bowen Wang, Yuanhang Cao
Iterative Learning Control Systems
article

Dead-Beat Predictive Current Control for OW-PMSM Drives with Robustness Improvement Based on Sliding Mode Observer

José Rodríguez, Xiaoguang Zhang, Bowen Wang, Yuanhang Cao
article en

Abstract

The deadbeat predictive current control (DPCC) method has excellent dynamic effects. However, it's highly sensitive to parameter mismatches, which can have significant impacts on the control system in practical applications. To overcome this challenge, this paper introduces a DPCC method enhanced with sliding mode techniques to improve robustness in common DC bus open-winding permanent magnet synchronous motor (OW-PMSM). A key innovation involves the development of an adaptive current and disturbance observer (ACDO) utilizing sliding-mode exponential dynamics. This observer enables simultaneous prediction of stator current and zero-sequence current (ZSC) trajectories while monitoring parameter mismatch-induced disturbances in real time. Next, the one-step delay compensation in model prediction is replaced by the predicted current from the observer, eliminating the need for additional delay design. Real-time disturbances from the observer are used as feedforward terms in the DPCC controller for compensation. After calculating the reference voltage, the voltage vector is redistributed, and the zero-sequence voltage (ZSV) generated by modulating effective voltage vectors counteracts the third-harmonic back electromotive force (EMF).

North China University of Technology (CN), San Sebastián University (CL)
Openalex Percentile: Top 72%
Iterative Learning Control Systems
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