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Sliding mode control of PMSM based on novel convergence reaching law

Published: 24 September 2019 Publication History

Abstract

To alleviate the phenomenon of high frequency chattering in the traditional sliding mode control system of permanent magnet synchronous motor (PMSM), a new sliding mode controller based on convergence reaching law is proposed in this paper. For verifying that the method can meet the control requirements of high performance, the sliding mode control method is used to replace the PI regulator on the current loop and the rotation loop. The experimental results show that after the new sliding mode controller is applied to the control system, the output waveform jitter amplitude of the new controller is 90% smaller than that of the traditional controller, and the waveform is smoother. The dynamic and static performance of the system is improved, and the robustness of the system is enhanced.

References

[1]
Lei Yuan, Bingxin Hu, et al (Ed.). 2016. The title of book one (1st. ed.). Modern Permanent Magnet Synchronous Motor Control Principle and MATLAB Simulation. Beijing Aerospace University Press, Beijing, Chapter 3. ISBN: 987-7-5124-2057-1
[2]
Haibo Wang, Bo Zhou and Sichen Fang. 2009. A PMSM Sliding Mode Control System Based on Exponential Reaching Law. Transactions of China Electrotechnical Society 24, 9 (2009), 71--77.
[3]
Shaofang Wu, Jianwu Zhang, Benben Chai. 2019. Adaptive Super-twisting Sliding Mode Observer Based Robust Backstepping Sensorless Speed control for IPMSM. ISA Transactions.
[4]
Chuankun Ji and Junbing Qian. 2019. Vector Control System of PMSM Based on Repetitive Synovial Control. Electronic Science and Technology 32, 1 (2019), 52--57.
[5]
Xiaoguang Zhang. 2014. Research on Key Issuses of Permanent Magnet Synchronous Motor Sliding Mode Speed Control System. Ph.D. Dissertation. Harbin Institute of Technology.
[6]
Zijian Zhai and Jun Chai. 2017. Permanent Magnet Synchronous Motor Vector Control Method Based on Sliding Mode Variable Structure. Journal of Changzhou College of Information Technology 1 (2017), 15--18.

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Published In

cover image ACM Conferences
RACS '19: Proceedings of the Conference on Research in Adaptive and Convergent Systems
September 2019
323 pages
ISBN:9781450368438
DOI:10.1145/3338840
  • Conference Chair:
  • Chih-Cheng Hung,
  • General Chair:
  • Qianbin Chen,
  • Program Chairs:
  • Xianzhong Xie,
  • Christian Esposito,
  • Jun Huang,
  • Juw Won Park,
  • Qinghua Zhang
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2019

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Author Tags

  1. chattering
  2. convergence reaching law
  3. sliding mode control

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  • Research-article

Funding Sources

  • Local Science and Technology Development Project Guided by Central Government
  • Hubei Science and Technology Support Project
  • Research on the Modeling and Control Strategy of Battery Equalization Energy Flow Network based on Petri Net

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RACS '19
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RACS '19 Paper Acceptance Rate 56 of 188 submissions, 30%;
Overall Acceptance Rate 393 of 1,581 submissions, 25%

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