Journal of System Simulation
Abstract
Abstract: To address the chattering in back electromotive force estimation and the gain mismatch across a wide speed range when using a conventional super-twisting sliding-mode observer in the sensorless control system of a permanent-magnet synchronous motor, this paper proposed an improved adaptive-gain super-twisting sliding-mode observer. A linear correction term was introduced into the super-twisting algorithm and integrated with a gain adaptation law based on speed feedback, enabling the system to achieve finite-time convergence and high-precision back electromotive force estimation over a wide speed range. A variable-gain adaptive complex-coefficient filter was constructed to effectively suppress the harmonic components in the observed back electromotive force and avoid the amplitude attenuation and phase delay caused by using a conventional low-pass filter. Simulation results indicate that the proposed method outperforms conventional methods in terms of observation accuracy and robustness.
Recommended Citation
Chen, Shiyu; Chen, Xinmin; Hu, Xionglong; Wang, Heng; Han, Yepeng; and Chen, Jiajie
(2026)
"Sensorless Control of PMSM Based on an Improved Super-twisting Sliding-mode Observer,"
Journal of System Simulation: Vol. 38:
Iss.
8, Article 14.
DOI: 10.16182/j.issn1004731x.joss.25-1012
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss8/14
First Page
2324
Last Page
2337
CLC
TM351; TP391
Recommended Citation
Chen Shiyu, Chen Xinmin, Hu Xionglong, et al. Sensorless Control of PMSM Based on an Improved Super-twisting Sliding-mode Observer[J]. Journal of System Simulation, 2026, 38(8): 2324-2337.
DOI
10.16182/j.issn1004731x.joss.25-1012
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