A Current Measurement Error Compensation Strategy for SPMSM Based on an Improved ADALINE Filter

This paper proposes an improved ADALINE filter with phase compensation for surface-mounted permanent magnet synchronous motor (SPMSM) to suppress the speed pulsation, dq-axis current ripple, and phase current imbalance caused by current measurement error, while still achieving excellent dynamic motor performance. First, the structure of ADALINE is enhanced to enable simultaneous compensation for the 1st- and 2nd-order pulsating components, as well as the DC residual error of the d-axis current. Then, to solve the problem of mutual coupling between the external load periodic disturbance and the current measurement error disturbance, the orthogonal relationship between the dq-axis current measurement error is used to indirectly obtain the q-axis current compensation value. Afterward, the impact of introducing ADALINE on system stability is analyzed. Drawing on the idea of phase compensation in a resonant controller, a phase-shift unit is innovatively introduced into the conventional ADALINE to improve the system vector margin, and the selection criteria for the learning rate and compensation phase angle are given. Finally, the experimental results show that the proposed method can achieve accurate compensation of current measurement error with a small computational burden, regardless of the presence of periodic load disturbances. The generalization of compensation parameters was verified on another SPMSM with different electrical and mechanical characteristics, and the cross-platform robustness of this method was verified.

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Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2025-06-17
DOI
https://doi.org/10.1109/tte.2025.3580359
Citations
3
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
4.46

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article

A Current Measurement Error Compensation Strategy for SPMSM Based on an Improved ADALINE Filter

Mengni Zhou, Haohao Guo, Q. S. Zhang, Xiaoling Liang et al.
3 citations
IEEE Transactions on Transportation Electrification
Sensor Technology and Measurement Systems
4.46
article

A Current Measurement Error Compensation Strategy for SPMSM Based on an Improved ADALINE Filter

Mengni Zhou, Haohao Guo, Q. S. Zhang, Xiaoling Liang, Yuji Zeng, Siyuan Liu, Yancheng Liu
article en
3 citations

Abstract

This paper proposes an improved ADALINE filter with phase compensation for surface-mounted permanent magnet synchronous motor (SPMSM) to suppress the speed pulsation, dq-axis current ripple, and phase current imbalance caused by current measurement error, while still achieving excellent dynamic motor performance. First, the structure of ADALINE is enhanced to enable simultaneous compensation for the 1st- and 2nd-order pulsating components, as well as the DC residual error of the d-axis current. Then, to solve the problem of mutual coupling between the external load periodic disturbance and the current measurement error disturbance, the orthogonal relationship between the dq-axis current measurement error is used to indirectly obtain the q-axis current compensation value. Afterward, the impact of introducing ADALINE on system stability is analyzed. Drawing on the idea of phase compensation in a resonant controller, a phase-shift unit is innovatively introduced into the conventional ADALINE to improve the system vector margin, and the selection criteria for the learning rate and compensation phase angle are given. Finally, the experimental results show that the proposed method can achieve accurate compensation of current measurement error with a small computational burden, regardless of the presence of periodic load disturbances. The generalization of compensation parameters was verified on another SPMSM with different electrical and mechanical characteristics, and the cross-platform robustness of this method was verified.

IEEE Transactions on Transportation ElectrificationVol. 11(5)
Dalian Ocean University (CN), Dalian Maritime University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Liaoning Province, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 5%
Sensor Technology and Measurement Systems
4.46
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