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 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), 2016. Published by Science Publishing Group

Keywords

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

References

[1]	L. Hladowski , K. Galkowski, Z. Cai, E. Rogers, C. T. Freeman, and P. L. Lewin, “Experimentally supported 2D systems based iterative learning control law design for error convergence and performance,” Control Engineering Practice, Vol. 18, 2010, pp. 339–348.
[2]	M. F. Heertjes, and M. J. G. Ren, “Set-point variation in learning schemes with applications to wafer scanners,” Control Engineering Practice, Vol. 17, 2009, pp. 345–356.
[3]	K. K. Tan, T. H. Lee., H. F. Dou., S. J. Chin, and S. Zhao, “Precision motion control with disturbance observer for pulsewidth-modulated-driven permanent-magnet linear motors,” IEEE Transactions on Magnetics, Vol. 39, 2003, pp. 1813-1818.
[4]	S. Li, C. Xia, and X. Zhou, “Disturbance rejection control method for permanent magnet synchronous motor speed-regulation system,” Mechatronics, Vol. 22, 2012, pp. 706-714.
[5]	S. L. Chen, K. K. Tan, S. Huang, and C. K. Teo, “Modeling and compensation of ripples and friction in permanent-magnet linear motor using a hysteretic relay,” IEEE/ASME Transactions on Mechatronics, Vol. 15, 2010, pp. 586-594.
[6]	H. M. Hasanien, “Torque ripple minimization of permanent magnet synchronous motor using digital observer controller,” Energy Conversion and Management, Vol. 51, 2010, pp. 98-104.
[7]	S. Chai, L. Wang, and E. Rogers, “A cascade MPC control structure for PMSM with speed ripple minimization,” IEEE Transactions on Industrial Electronics, Vol. 60, 2013, pp. 2978-2987.
[8]	W. H. Chen, J. Yang, L. Guo, and S. Li, “Disturbance observer-based control and related methods: An overview". IEEE Transactions on Industrial Electronics, 2015, pp.1083-1095.
[9]	A.T. Elfizy, G. M. Bone, and M. A. Elbestawi, “Model-based controller design for machine tool direct feed drives,” International Journal of Machine Tools and Manufacture, Vol. 44, 2004, pp. 465–477.
[10]	Y. A. R. Mohamed, “Adaptive self-tuning speed control for permanent-magnet synchronous motor drive with dead time,” IEEE Transactions on Energy Conversion, Vol. 21, 2006, pp. 855-862.
[11]	W. S. Huang, C. W. Liu, P. L. Hsu, and S. S. Yeh, “Precision control and compensation of servomotors and machine tools via the disturbance observer,” IEEE Transactions on Industrial Electronics Vol. 57, 2010, pp. 420–429.
[12]	C. Y. Chen, and M. Y. Cheng, “Adaptive disturbance compensation and load torque estimation for speed control of a servomechanism”. International Journal of Machine Tools and Manufacture, Vol. 59, 2012, pp. 6-15
[13]	H. Fujimoto, F. Kawakami, and S. Kondo, “Repetitive control of hard disk drives based on switching scheme: Experimental verification for multiple mode disturbance,” The 8th IEEE International Workshop on Advanced Motion Control, 2004, pp. 323–328.
[14]	J. Han, “From PID to active disturbance rejection control,” IEEE Transactions on Electronics Vol. 56, 2009, pp. 900–906.
[15]	S. Li, C. Xia, and X. Zhou, “Disturbance rejection control method for permanent magnet synchronous motor speed-regulation system,” Mechatronics, Vol. 22, 2012, pp. 706-714.
[16]	S. Li, and Z. Liu, “Adaptive speed control for permanent-magnet synchronous motor system with variations of load inertia,” IEEE Transactions on Industrial Electronics, Vol. 56, 2009, pp. 3050-3059.
[17]	G. Feng, Y. F. Liu, and L. Huang, “A new robust algorithm to improve the dynamic performance on the speed control of induction motor drive,” IEEE Transactions on Power Electronics, Vol. 19, 2004, pp. 1614-1627.
[18]	Y. X. Su, C, H. Zheng, and B. Y. Duan, “Automatic disturbances rejection controller for precise motion control of permanent-magnet synchronous motors,” IEEE Transactions on Industrial Electronics, Vol. 52, 2005, pp. 814-823.
[19]	D. Wu, and K. Chen, “Limit cycle analysis of active disturbance rejection control system with two nonlinearities,” ISA transactions, Vol. 53, 2014, pp. 947-954.
[20]	W. Qian, S. K. Panda, and J.-X. Xu, “Torque ripple minimization in PM synchronous motors using iterative learning control,” IEEE Transactions on Power Electronics, Vol. 19, 2004, pp. 272–279.
[21]	J.-X. Xu, S. K. Panda, Y.-J. Pan, T. H. Lee, and B. H. Lam, “A modular control scheme for PMSM speed control with pulsating torque minimization,” IEEE Transactions on Industrial Electronics, Vol. 51, 2004, pp. 526–536.
[22]	P. Mattavelli, L. Tubiana, and M. Zigliotto, “Torque-ripple reduction in PM synchronous motor drives using repetitive current control,” IEEE Transactions on Power Electronics, Vol. 20, 2005, pp. 1423-1431.
[23]	H. S. Ahn, Y. Q. Chen, and H. Dou, “State-periodic adaptive compensation of cogging and coulomb friction in permanent magnet linear motors,” American Control Conference, 2005, pp. 3036-3041.
[24]	Y. Luo, Y. Q. Chen, and Y. G. Pi, “Cogging effect minimization in PMSM position servo system using dual high-order periodic adaptive learning compensation,” ISA transactions, Vol. 49, 2010, pp.479-488.
[25]	Y. Luo, Y. Q. Chen, H. S. Ahn, and Y. G. Pi, “Dynamic high order periodic adaptive learning compensator for cogging effect in permanent magnet synchronous motor servo system,” IET Control Theory and Applications, Vol. 5, 2011, pp. 669-680.
[26]	H. S. Ahn, Y. Q. Chen, and W. Yu, “Periodic adaptive compensation of state-dependent disturbance in a digital servo motor system,” International Journal of Control Automation and Systems, Vol. 5, 2007, pp. 343-348.
[27]	H. S. Ahn, and Y. Q. Chen, “State-dependent friction force compensation using periodic adaptive learning control,” Mechatronics, Vol. 19, 2009, pp. 896-904.
[28]	H. S. Ahn, and Y. Q. Chen, “State-dependent periodic adaptive disturbance compensation,” IET Control Theory and Applications, Vol. 1, 2007, pp. 1008-1014Ahn. H. S., and Chen, Y. Q., “State-periodic adaptive friction compensation,” The 16-th IFAC World Congress. Vol.38, 2005, pp.7-12.
[29]	K. Cho, J. H. Kim, S. B. Choi, “A High-Precision Motion Control Based on a Periodic Adaptive Disturbance Observer in a PMLSM,” Vol. 20, 2015, pp. 2158-2171.
[30]	K. Cho, H. Park, S. Choi, and S. Oh, “Precision motion control based on a periodic adaptive disturbance observer” 38th Annual Conference on IEEE Industrial Electronics Society, 2012, pp. 3832-3837.

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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