Current Sampling Error Suppression Method for Deadbeat Predictive Direct Speed Control Based on Quasi-Resonant Controller

Surface-mounted Permanent magnet synchro-nous motors (SPMSMs) are widely used in high-precision, high-dynamic response control systems. However, the drive system's current sampling induced periodic speed fluctuation has drawn widespread attention. Therefore, this article incorporates a quasi-resonant controller (QRC) into dead-beat predictive direct speed control (DP-DSC) to suppress periodic speed fluctuations. The proposed method aims to introduce resonance points to suppress periodic speed fluc-tuations and analyze the stability of the control system and parameter tuning methods from the perspective of discrete transfer functions. The effectiveness of the proposed method has been verified through simulation.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.23919/icems60997.2024.10921019
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Current Sampling Error Suppression Method for Deadbeat Predictive Direct Speed Control Based on Quasi-Resonant Controller

Xudong Bai, Shaobin Li, Guodong Yu, Haoyi Mu et al.
Advanced Algorithms and Applications
article

Current Sampling Error Suppression Method for Deadbeat Predictive Direct Speed Control Based on Quasi-Resonant Controller

Xudong Bai, Shaobin Li, Guodong Yu, Haoyi Mu, Yongxiang Xu
article en

Abstract

Surface-mounted Permanent magnet synchro-nous motors (SPMSMs) are widely used in high-precision, high-dynamic response control systems. However, the drive system's current sampling induced periodic speed fluctuation has drawn widespread attention. Therefore, this article incorporates a quasi-resonant controller (QRC) into dead-beat predictive direct speed control (DP-DSC) to suppress periodic speed fluctuations. The proposed method aims to introduce resonance points to suppress periodic speed fluc-tuations and analyze the stability of the control system and parameter tuning methods from the perspective of discrete transfer functions. The effectiveness of the proposed method has been verified through simulation.

Harbin Institute of Technology (CN)
National Natural Science Foundation of China, State Key Laboratory of Robotics and System
Openalex Percentile: Top 64%
Advanced Algorithms and Applications
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Current Sampling Error Suppression Method for Deadbeat Predictive Direct Speed Control Based on Quasi-Resonant Controller — Xudong Bai, Shaobin Li, et al. · (2024) | TGRS Research Map | TGRS