Full-Order Super-Twisting Non-Singular Terminal Sliding Mode Observer for PMSM Sensorless Control

This paper proposes a full-order nonsingular terminal sliding mode observer based on the super-twisting algorithm for back electromotive force (EMF) estimation in permanent magnet synchronous motors (PMSMs), enabling sensorless control of PMSMs. This method incorporates the nonsingular terminal sliding mode surface into the super-twisting sliding mode observer (SMO) and extends the PMSM dynamic equations to full order to address the issues of chattering and convergence associated with traditional SMOs. Through numerical simulation analysis, a comparative study between the traditional SMO and the proposed observer is conducted to validate the feasibility.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.23919/icems60997.2024.10921438
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.33
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Full-Order Super-Twisting Non-Singular Terminal Sliding Mode Observer for PMSM Sensorless Control

Peng Kou, Zihao Li, Ling Liu, Siyuan Liu et al.
1 citations
Iterative Learning Control Systems
0.33
article

Full-Order Super-Twisting Non-Singular Terminal Sliding Mode Observer for PMSM Sensorless Control

Peng Kou, Zihao Li, Ling Liu, Siyuan Liu, Yue Zhang
article en
1 citations

Abstract

This paper proposes a full-order nonsingular terminal sliding mode observer based on the super-twisting algorithm for back electromotive force (EMF) estimation in permanent magnet synchronous motors (PMSMs), enabling sensorless control of PMSMs. This method incorporates the nonsingular terminal sliding mode surface into the super-twisting sliding mode observer (SMO) and extends the PMSM dynamic equations to full order to address the issues of chattering and convergence associated with traditional SMOs. Through numerical simulation analysis, a comparative study between the traditional SMO and the proposed observer is conducted to validate the feasibility.

Dongfang Electric Corporation (China) (CN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 36%
Iterative Learning Control Systems
0.33
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