Direct thrust control of PMLSM based on mode-free adaptive control

Abstract The permanent magnet linear synchronous motor (PMLSM) is susceptible to parameter time-varying, and the direct thrust force control (DTFC) system of PMLSM, and the thrust ripple and flux ripple are large. In order to improve the control accuracy of the DTFC system, this thesis combines the thrust and flux linkage hysteresis controllers in the DTFC system into a control loop, and uses the compact form dynamic linearization-model free adaptive control (CFDL-MFAC) algorithm based on tight format dynamic linearization to optimize the combined control loop. The results showed that it does not greatly reduce the thrust fluctuation and flux ripple.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-08-01
DOI
https://doi.org/10.1088/1742-6596/3079/1/012064
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Direct thrust control of PMLSM based on mode-free adaptive control

Chao Wang, Xu Dong, Hanyu Li, Xiuping Wang
Journal of Physics Conference Series
Adaptive Control of Nonlinear Systems
article

Direct thrust control of PMLSM based on mode-free adaptive control

Chao Wang, Xu Dong, Hanyu Li, Xiuping Wang
article en

Abstract

Abstract The permanent magnet linear synchronous motor (PMLSM) is susceptible to parameter time-varying, and the direct thrust force control (DTFC) system of PMLSM, and the thrust ripple and flux ripple are large. In order to improve the control accuracy of the DTFC system, this thesis combines the thrust and flux linkage hysteresis controllers in the DTFC system into a control loop, and uses the compact form dynamic linearization-model free adaptive control (CFDL-MFAC) algorithm based on tight format dynamic linearization to optimize the combined control loop. The results showed that it does not greatly reduce the thrust fluctuation and flux ripple.

Journal of Physics Conference SeriesVol. 3079(1)
Shenyang Institute of Engineering (CN), Shenyang Center for Disease Control and Prevention (CN)
Openalex Percentile: Top 76%
Adaptive Control of Nonlinear Systems
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