An Improved DPCC Based on a Cascade Extended State Observer With Notch Filter for PMSM Current Disturbance Suppression

The Permanent Magnet Synchronous Motor (PMSM) is subjected to various disturbances during operation. Traditional deadbeat predictive current control (DPCC) based on extended state observer (ESO) with resonant controllers tends to amplify disturbances near resonant frequencies, particularly introducing high-frequency noise under high-order harmonics, which degrades the control accuracy. To address this issue, a cascade ESO with notch filters (NFESO) is proposed in this paper. The proposed method employs a two-step disturbance estimation strategy: in the first step, the direct current (DC) disturbance ESO is designed to achieve accurate observation of DC disturbance; in the second step, the harmonic ESO with notch filter is designed to estimate periodic disturbances at specific frequencies. By integrating the notch filter, NFESO enables the precise estimation of both DC and harmonic disturbances while avoiding the disturbance amplification issue. Moreover, the cascade structure utilizes the total disturbance estimate from the previous ESO as the input for the next cascade ESO, effectively avoiding the degradation of disturbance estimation performance typically seen in the traditional cascade structure. At the same time, it decouples the interactions between different disturbance estimations, making stability analysis more intuitive and reducing the complexity of parameter tuning. Experimental results demonstrate the effectiveness of the proposed method.

Authors

Institutions

Publication Details

Journal
IEEE Journal of Emerging and Selected Topics in Power Electronics
Published
2025-04-16
DOI
https://doi.org/10.1109/jestpe.2025.3561295
Citations
4
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
4.86

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Improved DPCC Based on a Cascade Extended State Observer With Notch Filter for PMSM Current Disturbance Suppression

Dongdong Zhao, Manfeng Dou, Sicong Wen
4 citations
IEEE Journal of Emerging and Selected Topics in Power Electronics
Fault Detection and Control Systems
4.86
article

An Improved DPCC Based on a Cascade Extended State Observer With Notch Filter for PMSM Current Disturbance Suppression

Dongdong Zhao, Manfeng Dou, Sicong Wen
article en
4 citations

Abstract

The Permanent Magnet Synchronous Motor (PMSM) is subjected to various disturbances during operation. Traditional deadbeat predictive current control (DPCC) based on extended state observer (ESO) with resonant controllers tends to amplify disturbances near resonant frequencies, particularly introducing high-frequency noise under high-order harmonics, which degrades the control accuracy. To address this issue, a cascade ESO with notch filters (NFESO) is proposed in this paper. The proposed method employs a two-step disturbance estimation strategy: in the first step, the direct current (DC) disturbance ESO is designed to achieve accurate observation of DC disturbance; in the second step, the harmonic ESO with notch filter is designed to estimate periodic disturbances at specific frequencies. By integrating the notch filter, NFESO enables the precise estimation of both DC and harmonic disturbances while avoiding the disturbance amplification issue. Moreover, the cascade structure utilizes the total disturbance estimate from the previous ESO as the input for the next cascade ESO, effectively avoiding the degradation of disturbance estimation performance typically seen in the traditional cascade structure. At the same time, it decouples the interactions between different disturbance estimations, making stability analysis more intuitive and reducing the complexity of parameter tuning. Experimental results demonstrate the effectiveness of the proposed method.

IEEE Journal of Emerging and Selected Topics in Power ElectronicsVol. 13(3)
Northwestern Polytechnical University (CN)
National Natural Science Foundation of China, Northwestern Polytechnical University, Key Research and Development Projects of Shaanxi Province
Climate action
Openalex Percentile: Top 5%
Fault Detection and Control Systems
4.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.