Improved Sensorless Control of PMSM Based on Super Twisting Algorithm-Sliding Mode Observer

This paper addresses the challenge of reduced precision in the observation of rotor information in permanent magnet synchronous motors (PMSMs) due to the chattering and delay issues inherent in conventional sliding mode observers. An advanced sensorless control method for PMSMs is proposed, leveraging an enhanced superhelical sliding mode observer. First, the improved observer is constructed by replacing the sign function in the standard superhelical sliding mode algorithm with a novel saturation function, thereby significantly reducing sliding mode chattering. Second, a phase-locked loop (PLL) structure is utilized to substitute the sign function in the traditional sliding mode observer, allowing for more accurate extraction of the PMSM’s position and speed information and effectively resolving the lag issue. Finally, a sensorless control system for PMSMs is developed, and its performance is validated through simulations conducted in MATLAB/Simulink. The comparison with the traditional sliding mode observer’s findings underscores the enhanced capabilities of the suggested approach.

Authors

Institutions

Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/icetci64844.2025.11084161
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improved Sensorless Control of PMSM Based on Super Twisting Algorithm-Sliding Mode Observer

Zhiyuan Gao, Wenjing Wang
Adaptive Control of Nonlinear Systems
article

Improved Sensorless Control of PMSM Based on Super Twisting Algorithm-Sliding Mode Observer

Zhiyuan Gao, Wenjing Wang
article en

Abstract

This paper addresses the challenge of reduced precision in the observation of rotor information in permanent magnet synchronous motors (PMSMs) due to the chattering and delay issues inherent in conventional sliding mode observers. An advanced sensorless control method for PMSMs is proposed, leveraging an enhanced superhelical sliding mode observer. First, the improved observer is constructed by replacing the sign function in the standard superhelical sliding mode algorithm with a novel saturation function, thereby significantly reducing sliding mode chattering. Second, a phase-locked loop (PLL) structure is utilized to substitute the sign function in the traditional sliding mode observer, allowing for more accurate extraction of the PMSM’s position and speed information and effectively resolving the lag issue. Finally, a sensorless control system for PMSMs is developed, and its performance is validated through simulations conducted in MATLAB/Simulink. The comparison with the traditional sliding mode observer’s findings underscores the enhanced capabilities of the suggested approach.

Liaoning Technical University (CN), Xinjiang University (CN)
Affordable and clean energy
Openalex Percentile: Top 79%
Adaptive Control of Nonlinear Systems
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.