High-Precision Repetitive Motion Control in Permanent Magnet Synchronous Motor Using a Periodic Adaptive Extended State Observer

Zhi Ren; Wenjun Qiao; Yang Liu; Xiaohong Zhang; Songtao Li; Min Huang; Yingdi Bao; Gang Fang

doi:doi:10.11648/j.ajche.20160405.15

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High-Precision Repetitive Motion Control in Permanent Magnet Synchronous Motor Using a Periodic Adaptive Extended State Observer

Zhi Ren, Wenjun Qiao, Yang Liu, Xiaohong Zhang, Songtao Li, Min Huang, Yingdi Bao, Gang Fang

Published in American Journal of Chemical Engineering (Volume 4, Issue 5)

Received: 20 October 2016 Accepted: Published: 20 October 2016

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Abstract

This paper focuses on estimating and compensating the lumped disturbances in the repetitive motion control system of permanent magnet synchronous motor. A Periodic Adaptive Extended State Observer (PAESO) consisting of a normal Extended State Observer (ESO) and a refined ESO is proposed. The normal ESO is designed to capture the approximate range of the disturbances, and the refined ESO is developed to optimize the quantity of the estimated lumped disturbances by integrating real-time position tracking error. Based on PAESO, a hybrid controller, including a feedback branch and a feedforward branch, is presented to make the overall system stable and the position tracking error convergent towards zero. The effectiveness of the proposed PAESO is verified through three real-time experiments. Experimental results show that a high-precision tracking performance is obtained by the proposed PAESO.

Published in	American Journal of Chemical Engineering (Volume 4, Issue 5)
DOI	10.11648/j.ajche.20160405.15
Page(s)	122-130
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Permanent Magnet Synchronous Motors, Lumped Disturbances, Periodic Adaptive Extended State Observer, Repetitive Position Control

References

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APA Style

Zhi Ren, Wenjun Qiao, Yang Liu, Xiaohong Zhang, Songtao Li, et al. (2016). High-Precision Repetitive Motion Control in Permanent Magnet Synchronous Motor Using a Periodic Adaptive Extended State Observer. American Journal of Chemical Engineering, 4(5), 122-130. https://doi.org/10.11648/j.ajche.20160405.15

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ACS Style

Zhi Ren; Wenjun Qiao; Yang Liu; Xiaohong Zhang; Songtao Li, et al. High-Precision Repetitive Motion Control in Permanent Magnet Synchronous Motor Using a Periodic Adaptive Extended State Observer. Am. J. Chem. Eng. 2016, 4(5), 122-130. doi: 10.11648/j.ajche.20160405.15

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AMA Style

Zhi Ren, Wenjun Qiao, Yang Liu, Xiaohong Zhang, Songtao Li, et al. High-Precision Repetitive Motion Control in Permanent Magnet Synchronous Motor Using a Periodic Adaptive Extended State Observer. Am J Chem Eng. 2016;4(5):122-130. doi: 10.11648/j.ajche.20160405.15

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@article{10.11648/j.ajche.20160405.15,
  author = {Zhi Ren and Wenjun Qiao and Yang Liu and Xiaohong Zhang and Songtao Li and Min Huang and Yingdi Bao and Gang Fang},
  title = {High-Precision Repetitive Motion Control in Permanent Magnet Synchronous Motor Using a Periodic Adaptive Extended State Observer},
  journal = {American Journal of Chemical Engineering},
  volume = {4},
  number = {5},
  pages = {122-130},
  doi = {10.11648/j.ajche.20160405.15},
  url = {https://doi.org/10.11648/j.ajche.20160405.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajche.20160405.15},
  abstract = {This paper focuses on estimating and compensating the lumped disturbances in the repetitive motion control system of permanent magnet synchronous motor. A Periodic Adaptive Extended State Observer (PAESO) consisting of a normal Extended State Observer (ESO) and a refined ESO is proposed. The normal ESO is designed to capture the approximate range of the disturbances, and the refined ESO is developed to optimize the quantity of the estimated lumped disturbances by integrating real-time position tracking error. Based on PAESO, a hybrid controller, including a feedback branch and a feedforward branch, is presented to make the overall system stable and the position tracking error convergent towards zero. The effectiveness of the proposed PAESO is verified through three real-time experiments. Experimental results show that a high-precision tracking performance is obtained by the proposed PAESO.},
 year = {2016}
}

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TY  - JOUR
T1  - High-Precision Repetitive Motion Control in Permanent Magnet Synchronous Motor Using a Periodic Adaptive Extended State Observer
AU  - Zhi Ren
AU  - Wenjun Qiao
AU  - Yang Liu
AU  - Xiaohong Zhang
AU  - Songtao Li
AU  - Min Huang
AU  - Yingdi Bao
AU  - Gang Fang
Y1  - 2016/10/20
PY  - 2016
N1  - https://doi.org/10.11648/j.ajche.20160405.15
DO  - 10.11648/j.ajche.20160405.15
T2  - American Journal of Chemical Engineering
JF  - American Journal of Chemical Engineering
JO  - American Journal of Chemical Engineering
SP  - 122
EP  - 130
PB  - Science Publishing Group
SN  - 2330-8613
UR  - https://doi.org/10.11648/j.ajche.20160405.15
AB  - This paper focuses on estimating and compensating the lumped disturbances in the repetitive motion control system of permanent magnet synchronous motor. A Periodic Adaptive Extended State Observer (PAESO) consisting of a normal Extended State Observer (ESO) and a refined ESO is proposed. The normal ESO is designed to capture the approximate range of the disturbances, and the refined ESO is developed to optimize the quantity of the estimated lumped disturbances by integrating real-time position tracking error. Based on PAESO, a hybrid controller, including a feedback branch and a feedforward branch, is presented to make the overall system stable and the position tracking error convergent towards zero. The effectiveness of the proposed PAESO is verified through three real-time experiments. Experimental results show that a high-precision tracking performance is obtained by the proposed PAESO.
VL  - 4
IS  - 5
ER  -

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Author Information

Zhi Ren

School of Mathematics and Physics, North China Electric Power University, Baoding, China
Wenjun Qiao

School of Mathematics and Physics, North China Electric Power University, Baoding, China
Yang Liu

School of Mathematics and Physics, North China Electric Power University, Baoding, China
Xiaohong Zhang

School of Mathematics and Physics, North China Electric Power University, Baoding, China
Songtao Li

School of Mathematics and Physics, North China Electric Power University, Baoding, China
Min Huang

GoodWe (Jiangsu) Power Supply Technology Co. Ltd, Suzhou, China
Yingdi Bao

GoodWe (Jiangsu) Power Supply Technology Co. Ltd, Suzhou, China
Gang Fang

GoodWe (Jiangsu) Power Supply Technology Co. Ltd, Suzhou, China

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Plain Text BibTeX RIS

APA Style

Zhi Ren, Wenjun Qiao, Yang Liu, Xiaohong Zhang, Songtao Li, et al. (2016). High-Precision Repetitive Motion Control in Permanent Magnet Synchronous Motor Using a Periodic Adaptive Extended State Observer. American Journal of Chemical Engineering, 4(5), 122-130. https://doi.org/10.11648/j.ajche.20160405.15

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ACS Style

Zhi Ren; Wenjun Qiao; Yang Liu; Xiaohong Zhang; Songtao Li, et al. High-Precision Repetitive Motion Control in Permanent Magnet Synchronous Motor Using a Periodic Adaptive Extended State Observer. Am. J. Chem. Eng. 2016, 4(5), 122-130. doi: 10.11648/j.ajche.20160405.15

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AMA Style

Zhi Ren, Wenjun Qiao, Yang Liu, Xiaohong Zhang, Songtao Li, et al. High-Precision Repetitive Motion Control in Permanent Magnet Synchronous Motor Using a Periodic Adaptive Extended State Observer. Am J Chem Eng. 2016;4(5):122-130. doi: 10.11648/j.ajche.20160405.15

Copy | Download

@article{10.11648/j.ajche.20160405.15,
  author = {Zhi Ren and Wenjun Qiao and Yang Liu and Xiaohong Zhang and Songtao Li and Min Huang and Yingdi Bao and Gang Fang},
  title = {High-Precision Repetitive Motion Control in Permanent Magnet Synchronous Motor Using a Periodic Adaptive Extended State Observer},
  journal = {American Journal of Chemical Engineering},
  volume = {4},
  number = {5},
  pages = {122-130},
  doi = {10.11648/j.ajche.20160405.15},
  url = {https://doi.org/10.11648/j.ajche.20160405.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajche.20160405.15},
  abstract = {This paper focuses on estimating and compensating the lumped disturbances in the repetitive motion control system of permanent magnet synchronous motor. A Periodic Adaptive Extended State Observer (PAESO) consisting of a normal Extended State Observer (ESO) and a refined ESO is proposed. The normal ESO is designed to capture the approximate range of the disturbances, and the refined ESO is developed to optimize the quantity of the estimated lumped disturbances by integrating real-time position tracking error. Based on PAESO, a hybrid controller, including a feedback branch and a feedforward branch, is presented to make the overall system stable and the position tracking error convergent towards zero. The effectiveness of the proposed PAESO is verified through three real-time experiments. Experimental results show that a high-precision tracking performance is obtained by the proposed PAESO.},
 year = {2016}
}

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TY  - JOUR
T1  - High-Precision Repetitive Motion Control in Permanent Magnet Synchronous Motor Using a Periodic Adaptive Extended State Observer
AU  - Zhi Ren
AU  - Wenjun Qiao
AU  - Yang Liu
AU  - Xiaohong Zhang
AU  - Songtao Li
AU  - Min Huang
AU  - Yingdi Bao
AU  - Gang Fang
Y1  - 2016/10/20
PY  - 2016
N1  - https://doi.org/10.11648/j.ajche.20160405.15
DO  - 10.11648/j.ajche.20160405.15
T2  - American Journal of Chemical Engineering
JF  - American Journal of Chemical Engineering
JO  - American Journal of Chemical Engineering
SP  - 122
EP  - 130
PB  - Science Publishing Group
SN  - 2330-8613
UR  - https://doi.org/10.11648/j.ajche.20160405.15
AB  - This paper focuses on estimating and compensating the lumped disturbances in the repetitive motion control system of permanent magnet synchronous motor. A Periodic Adaptive Extended State Observer (PAESO) consisting of a normal Extended State Observer (ESO) and a refined ESO is proposed. The normal ESO is designed to capture the approximate range of the disturbances, and the refined ESO is developed to optimize the quantity of the estimated lumped disturbances by integrating real-time position tracking error. Based on PAESO, a hybrid controller, including a feedback branch and a feedforward branch, is presented to make the overall system stable and the position tracking error convergent towards zero. The effectiveness of the proposed PAESO is verified through three real-time experiments. Experimental results show that a high-precision tracking performance is obtained by the proposed PAESO.
VL  - 4
IS  - 5
ER  -

Copy | Download