Rotor Position Estimation for a Position-Sensorless FOC PMSM Drive — A Super-Twisting Based Sliding Mode Observer Approach | Zendy

Jun-Ping Chang | Zendy; Ming-Yang Cheng | Zendy

Open Access

Rotor Position Estimation for a Position-Sensorless FOC PMSM Drive — A Super-Twisting Based Sliding Mode Observer Approach

Author(s) -

Jun-Ping Chang,

Ming-Yang Cheng

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3611005

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

The fact that the back-EMF voltage on the d-axis is zero can be used to develop a rotor position estimation method for a surface-mounted PMSM (SPMSM). However, d-axis voltage modeling error may degrade the transient-state performance of a position-sensorless drive. Therefore, this paper presents a second-order sliding mode observer (SMO) based position-sensorless Field-Oriented Control (FOC) drive for SPMSMs. In order to alleviate the chattering phenomenon induced by estimated back-EMF as well as phase delay caused by a low-pass filter that are inherent in conventional SMOs, a super-twisting algorithm-based SMO (STA-SMO) with a modified phase-locked loop (PLL) is adopted to precisely estimate the angular position and angular speed of a SPMSM. Moreover, dynamic performance can be further improved due to a well-tracked estimated back-EMF on the d-axis. Finally, the proposed position-sensorless FOC based on STA-SMO is implemented and verified on a 0.75-kW SPMSM using MATLAB/Simulink. Simulation results verify the effectiveness of the proposed rotor position estimation method.

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