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ISSN

2424-8460(Online)

2251-2608(Print)

Article Processing Charges (APCs)

US$800

Publication Frequency

Quarterly

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Published

2024-02-19

Issue

Vol 10 No 4 (2023): Published

Section

Articles

Research on thrust fl uctuation suppression and control algorithm of permanent magnet linear synchro

Wenbin Xie

Yuanyuan Li


DOI: https://doi.org/10.59429/esta.v10i4.1628


Keywords: permanent magnet linear synchronous motor (PMLSM); Thrust fl uctuation; Prediction function


Abstract

Compared with the conventional rotary motor, the permanent magnet linear synchronous motor (PMLSM) has the advantages of simple structure, large thrust and good fast response. However, due to the linear motor ripple disturbance and positioning force changes will cause thrust fl uctuatio ns, but also aff ected by the end eff ect, slotting force and load changes, system parameter drift, nonlinear friction force, etc., resulting in poor system controllability, which directly aff ects the positioning and trajectory tracking accuracy of the linear motor, by observing the thrust fl uctuations of the permanent magnet linear synchronous motor, By using prediction function and fuzzy control algorithm, the thrust fl uctuation suppression method based on fuzzy prediction function control is established, and the improved prediction function fuzzy controller is constructed. According to the deviation and deviation change rate of the system, the parameters of the fuzzy controller are optimized and adjusted online by using the proportional coeffi cient, so as to improve the comprehensive performance of the linear motor servo system, and provide the theoretical basis and technical approach for realizing the high-performance linear motion system.


References

[1] Yunhui Xie. Research on Model Predictive Control of Permanent Magnet Synchronous Motor [D]. Anhui University,2020.

[2] Xuliang Yao,Chengqi Huang,Jingfang Wang, etal. Model Predictive Power Control of Permanent magnet synchronous Motor in Two-phase stationary

coordinate System [J]. Transactions of China Electrotechnical Society,2021,36(1):8.

[3] Lele Ma,Xiangjie Liu. Efficient Iterative Learning Predictive Function Control for Nonlinear Fast Batch Processes [J]. Acta Automatica

Sinica,2022,48(2):16.

[4] Qingguo Sun,Gongmin Wei,Xu Liu. Torque Ripple Suppression of Switched Reluctance Motor with Adaptive Commutation and Torque Compensation [J].

Electric Machines and Control, 2012,26(06):91-100+111.

[5] Yuan Hu, Jing Li,Xuzhen Huang. Research on Reduction of Positioning Force and Thrust Fluctuation of Continuous Pole Permanent Magnet Linear

Synchronous Motor [J]. Electrical Technology, 2022, 23(9):1-7.

[6] Ming Zou,Chengyong Zhao,Jianzhong Xu. Electromagnetic transient equivalent Modeling Method and Stability Analysis of Permanent magnet

synchronous Generator [J]. Power System Protection and Control, 2023, 51(13):25-36.



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