摘要详情

ID / 提交时间

86 / 2025-02-20 22:33:30

标题

Parameter-Free Sliding Mode Predictive Control Strategy For Permanent Magnet Linear Synchronous Motor

关键字

Permanent magnet linear synchronous motor (PMLSM), sliding mode predictive current control, parameter-free, cost function, robustness.

主题及专题

Review group 2

状态

全文录用

作者

Hang Chen / State Key Laboratory of Advanced Electromagnetic Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Wei Xu / State Key Laboratory of High Density Electromagnetic Power and Systems, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China

Han Xiao / State Key Laboratory of Advanced Electromagnetic Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Jian Ge / State Key Laboratory of Advanced Electromagnetic Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Yi Liu / State Key Laboratory of Advanced Electromagnetic Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

摘要

A parameter-free sliding mode predictive current control method is proposed to address the challenge of parameter mismatch in permanent magnet linear synchronous motor (PMLSM) driven systems. By combining model predictive control, the PMLSM drive systems retain good performance, even when confronted with distorted input voltage waveforms. Furthermore, a cost function for parameter-free current control is constructed, thereby eliminating the dependency of model predictive control on parameter accuracy. Secondly, to further improve its control performance, a weighting strategy is integrated into the model predictive control method. The simulation results show that the proposed method can maintain good control performance of the PMLSM drive systems under parameter mismatch, significantly enhancing system robustness and possessing practical engineering significance.