A Sliding-Mode Position Estimation Method with Chattering Suppression for LCL-Equipped High-Speed Surface-Mounted PMSM Drives

Journal article (2022)

Authors

Yu Yao Southeast University
Yunkai Huang Southeast University
Fei Peng Southeast University
J. Dong DC systems, Energy conversion & Storage - EEMCS
Research Group
DC systems, Energy conversion & Storage (EEMCS) (TU Delft)
Copyright: © 2022 Yu Yao, Yunkai Huang, Fei Peng, J. Dong
DOI: https://doi.org/10.1109/TPEL.2021.3108389
LCL filter High-speed surface-mounted permanent magnet synchronous machine (HSPMSM) Chattering suppression Rotor position Sliding-mode estimation Speed estimation ripple
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Published Date

2022

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

DC systems, Energy conversion & Storage

Abstract

This article proposes a sliding-mode position estimation method for high-speed surface-mounted permanent magnet synchronous machines with LCL filter. The implementation of the LCL filter aims at smoothing the motor current and reducing the iron loss caused by the harmonic currents. First, the discrete-time model of the LCL-filtered motor drive system is developed. Based on the developed model, the sliding-mode observer is proposed with more robustness against the parameter variation to estimate the back EMF, which contains the information of the rotor speed and position. Because of the elimination of the capacitor voltage sensors, the augmented sliding surface is designed to achieve arbitrary pole placement with only output feedback. Besides, considering the analog-to-digital scaling error and pulsewidth modulation harmonics, a reaching law with enhanced chattering suppression ability is proposed. Compared with the conventional methods, the chattering problem is well alleviated and thus the speed estimation ripple is much reduced. Finally, the effectiveness of the proposed method, even with the mismatched parameters adopted is validated at 100 kr/min with the sampling frequency 20 kHz.