A Novel Sliding Mode Observer for Sensorless Control of Dual Three-phase PMSM

The sensorless control system of the dual three-phase permanent magnet synchronous motors (DTP-PMSM) based on the sliding mode observer (SMO) has the issues of low tracking accuracy and significant ripple. To solve this problem, this paper proposes an improved SMO(ISMO). Firstly, a mathematical of the DTP-PMSM is developed in a two-phase stationary reference frame. Based on existing reaching laws and switching functions, a novel rotor position observer is designed. Then, the stability of the observer is rigorously proven using Lyapunov's second method. Finally, simulations are conducted on the MATLAB/Simulink platform to validate the design. The comparative analyses with SMOs show that the improved observer significantly increases the response speed of the system and reduces chattering during the tracking process.

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Publication Details

Published
2025-04-11
DOI
https://doi.org/10.1109/icgeps65133.2025.11034427
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

A Novel Sliding Mode Observer for Sensorless Control of Dual Three-phase PMSM

Xuan Zhao, Shuguang Zhao, Fei Yao
1 citations
Iterative Learning Control Systems
1.21
article

A Novel Sliding Mode Observer for Sensorless Control of Dual Three-phase PMSM

Xuan Zhao, Shuguang Zhao, Fei Yao
article en
1 citations

Abstract

The sensorless control system of the dual three-phase permanent magnet synchronous motors (DTP-PMSM) based on the sliding mode observer (SMO) has the issues of low tracking accuracy and significant ripple. To solve this problem, this paper proposes an improved SMO(ISMO). Firstly, a mathematical of the DTP-PMSM is developed in a two-phase stationary reference frame. Based on existing reaching laws and switching functions, a novel rotor position observer is designed. Then, the stability of the observer is rigorously proven using Lyapunov's second method. Finally, simulations are conducted on the MATLAB/Simulink platform to validate the design. The comparative analyses with SMOs show that the improved observer significantly increases the response speed of the system and reduces chattering during the tracking process.

Donghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 20%
Iterative Learning Control Systems
1.21
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