Sensorless Control of Permanent Magnet Synchronous Motor Based on Improved Super-Twisting Sliding Mode Observer

WANG Tao; HUANG Jingchun; ZHOU Xingzhi; JIN Jing

doi:10.3969/j.issn.0258-2724.20220793

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Journal of Southwest Jiaotong University > 2025 >

WANG Tao, HUANG Jingchun, ZHOU Xingzhi, JIN Jing. Sensorless Control of Permanent Magnet Synchronous Motor Based on Improved Super-Twisting Sliding Mode Observer[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20220793

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WANG Tao, HUANG Jingchun, ZHOU Xingzhi, JIN Jing. Sensorless Control of Permanent Magnet Synchronous Motor Based on Improved Super-Twisting Sliding Mode Observer[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20220793

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Sensorless Control of Permanent Magnet Synchronous Motor Based on Improved Super-Twisting Sliding Mode Observer

doi: 10.3969/j.issn.0258-2724.20220793

School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China

Received Date: 17 Nov 2022
Rev Recd Date: 08 Jun 2023

Available Online: 13 Jan 2025

Abstract

Abstract

In the wide speed range of sensorless control, the traditional super-twisting second-order sliding mode observer algorithm had a problem that the error of rotor position estimation would change with the speed in the permanent magnet synchronous motor (PMSM). In order to improve the control performance of the motor speed and reduce the error of rotor position estimation, an improved sliding mode observer based on hyperbolic function was proposed, and an online identification scheme of stator resistance was designed. A disturbance voltage observer was designed to estimate the distortion voltage caused by the nonlinearity of the inverter on line. Finally, the hardware-in-the-loop test was carried out to verify the feasibility of the scheme. The test results show that the error of position estimation can be reduced by 7.6%, and the accuracy of velocity estimation can be increased by 5.8%.

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