Anti-Peaking-ESO-Based Adaptive SOSM Controller Design for PMSM Speed Regulation

This article addresses the speed regulation of permanent magnet synchronous motors (PMSMs) by presenting a composite adaptive second-order sliding mode (SOSM) controller combined with an anti-peaking extended state observer (AESO). The proposed controller effectively suppresses chattering and enhances anti-disturbance performance. Initially, a relay-polynomial SOSM controller featuring a simple structure is devised to alleviate chattering typically observed in the first-order sliding mode (FOSM). To counteract the peaking phenomenon during the start-up phase of PMSMs, the AESO incorporates a time-varying bandwidth mechanism. Furthermore, an innovative adaptive algorithm is introduced, leveraging a sliding-mode (SM)-based filter to identify the optimal minimum gain, thereby avoiding excessive control gain-induced chattering. The stability and performance advantages of the proposed controller are substantiated through rigorous theoretical analysis and experimental results.

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Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2025-08-15
DOI
https://doi.org/10.1109/tte.2025.3599191
Citations
3
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
9.39
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article

Anti-Peaking-ESO-Based Adaptive SOSM Controller Design for PMSM Speed Regulation

3 citations
IEEE Transactions on Transportation Electrification
Diverse Scientific and Economic Studies
9.39
article

Anti-Peaking-ESO-Based Adaptive SOSM Controller Design for PMSM Speed Regulation

article en
3 citations

Abstract

This article addresses the speed regulation of permanent magnet synchronous motors (PMSMs) by presenting a composite adaptive second-order sliding mode (SOSM) controller combined with an anti-peaking extended state observer (AESO). The proposed controller effectively suppresses chattering and enhances anti-disturbance performance. Initially, a relay-polynomial SOSM controller featuring a simple structure is devised to alleviate chattering typically observed in the first-order sliding mode (FOSM). To counteract the peaking phenomenon during the start-up phase of PMSMs, the AESO incorporates a time-varying bandwidth mechanism. Furthermore, an innovative adaptive algorithm is introduced, leveraging a sliding-mode (SM)-based filter to identify the optimal minimum gain, thereby avoiding excessive control gain-induced chattering. The stability and performance advantages of the proposed controller are substantiated through rigorous theoretical analysis and experimental results.

IEEE Transactions on Transportation ElectrificationVol. 11(6)
Jiangsu University (CN)
Affordable and clean energy
Openalex Percentile: Top 2%
Diverse Scientific and Economic Studies
9.39
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