A Dynamic Self-Adjusting System for Permanent Magnet Synchronous Motors Using an Improved Super-Twisting Sliding Mode Observer

A Dynamic Self-Adjusting System for Permanent Magnet Synchronous Motors Using an Improved Super-Twisting Sliding Mode Observer

To enhance the robustness of sensorless control in permanent magnet synchronous motors (PMSMs) under parameter mismatches, this paper proposes a novel sliding mode observer (SMO) that automatically adjusts the error factor. The purpose is to enable the precise observation of rotor position in PMSMs...

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Bibliographic Details
Main Authors: Yanguo Huang, Yingmin Xie, Weilong Han
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
permanent magnet synchronous motor
sensorless control
sliding mode observer
error factor
neural network
Online Access:https://www.mdpi.com/1424-8220/25/12/3623
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