The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train

Li Yelei; Xu Hongze; Gegerile

doi:doi:10.11648/j.sd.20170502.11

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The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train

Li Yelei, Xu Hongze, Gegerile

Published in Science Discovery (Volume 5, Issue 2)

Received: 20 April 2017 Published: 20 April 2017

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Abstract

The PID controller with an advantage of simple structure and easy extension is difficult to meet the requirements of the speed control system during the parameters variation and load disturbance. This paper presents a model predictive control(MPC) strategy for motor speed control based on analysis of the mathematical model of long stator linear synchronous motor(LSLSM), which utilizes move-blocking strategy to reduce the degrees of freedom of the controller by fixing the system input to keep it constant over several time. Then a low-computation MPC controller is designed for the sake of controller implementation in practice. Finally, the simulation experiments are conducted to verify the effectiveness of the proposed controller by using Matlab. Results show that the MPC controller effectively improved the dynamic performance and steady state accuracy of the system and the low-computation MPC reduced the computational complexity with a decline in accuracy.

Published in	Science Discovery (Volume 5, Issue 2)
DOI	10.11648/j.sd.20170502.11
Page(s)	77-85
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), 2017. Published by Science Publishing Group

Keywords

Long Stator Linear Synchronous Motor, Model Predictive Control, Move-blocking Strategy, Low-Computation

References

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APA Style

Li Yelei, Xu Hongze, Gegerile. (2017). The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train. Science Discovery, 5(2), 77-85. https://doi.org/10.11648/j.sd.20170502.11

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ACS Style

Li Yelei; Xu Hongze; Gegerile. The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train. Sci. Discov. 2017, 5(2), 77-85. doi: 10.11648/j.sd.20170502.11

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AMA Style

Li Yelei, Xu Hongze, Gegerile. The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train. Sci Discov. 2017;5(2):77-85. doi: 10.11648/j.sd.20170502.11

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@article{10.11648/j.sd.20170502.11,
  author = {Li Yelei and Xu Hongze and Gegerile},
  title = {The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train},
  journal = {Science Discovery},
  volume = {5},
  number = {2},
  pages = {77-85},
  doi = {10.11648/j.sd.20170502.11},
  url = {https://doi.org/10.11648/j.sd.20170502.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170502.11},
  abstract = {The PID controller with an advantage of simple structure and easy extension is difficult to meet the requirements of the speed control system during the parameters variation and load disturbance. This paper presents a model predictive control(MPC) strategy for motor speed control based on analysis of the mathematical model of long stator linear synchronous motor(LSLSM), which utilizes move-blocking strategy to reduce the degrees of freedom of the controller by fixing the system input to keep it constant over several time. Then a low-computation MPC controller is designed for the sake of controller implementation in practice. Finally, the simulation experiments are conducted to verify the effectiveness of the proposed controller by using Matlab. Results show that the MPC controller effectively improved the dynamic performance and steady state accuracy of the system and the low-computation MPC reduced the computational complexity with a decline in accuracy.},
 year = {2017}
}

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TY  - JOUR
T1  - The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train
AU  - Li Yelei
AU  - Xu Hongze
AU  - Gegerile
Y1  - 2017/04/20
PY  - 2017
N1  - https://doi.org/10.11648/j.sd.20170502.11
DO  - 10.11648/j.sd.20170502.11
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 77
EP  - 85
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20170502.11
AB  - The PID controller with an advantage of simple structure and easy extension is difficult to meet the requirements of the speed control system during the parameters variation and load disturbance. This paper presents a model predictive control(MPC) strategy for motor speed control based on analysis of the mathematical model of long stator linear synchronous motor(LSLSM), which utilizes move-blocking strategy to reduce the degrees of freedom of the controller by fixing the system input to keep it constant over several time. Then a low-computation MPC controller is designed for the sake of controller implementation in practice. Finally, the simulation experiments are conducted to verify the effectiveness of the proposed controller by using Matlab. Results show that the MPC controller effectively improved the dynamic performance and steady state accuracy of the system and the low-computation MPC reduced the computational complexity with a decline in accuracy.
VL  - 5
IS  - 2
ER  -

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Author Information

Li Yelei

School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
Xu Hongze

School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
Gegerile

School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China

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APA Style

Li Yelei, Xu Hongze, Gegerile. (2017). The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train. Science Discovery, 5(2), 77-85. https://doi.org/10.11648/j.sd.20170502.11

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ACS Style

Li Yelei; Xu Hongze; Gegerile. The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train. Sci. Discov. 2017, 5(2), 77-85. doi: 10.11648/j.sd.20170502.11

Copy | Download

AMA Style

Li Yelei, Xu Hongze, Gegerile. The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train. Sci Discov. 2017;5(2):77-85. doi: 10.11648/j.sd.20170502.11

Copy | Download

@article{10.11648/j.sd.20170502.11,
  author = {Li Yelei and Xu Hongze and Gegerile},
  title = {The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train},
  journal = {Science Discovery},
  volume = {5},
  number = {2},
  pages = {77-85},
  doi = {10.11648/j.sd.20170502.11},
  url = {https://doi.org/10.11648/j.sd.20170502.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170502.11},
  abstract = {The PID controller with an advantage of simple structure and easy extension is difficult to meet the requirements of the speed control system during the parameters variation and load disturbance. This paper presents a model predictive control(MPC) strategy for motor speed control based on analysis of the mathematical model of long stator linear synchronous motor(LSLSM), which utilizes move-blocking strategy to reduce the degrees of freedom of the controller by fixing the system input to keep it constant over several time. Then a low-computation MPC controller is designed for the sake of controller implementation in practice. Finally, the simulation experiments are conducted to verify the effectiveness of the proposed controller by using Matlab. Results show that the MPC controller effectively improved the dynamic performance and steady state accuracy of the system and the low-computation MPC reduced the computational complexity with a decline in accuracy.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - The Reseach on Model Predictive Control for Linear Synchronous Motor of Maglev Train
AU  - Li Yelei
AU  - Xu Hongze
AU  - Gegerile
Y1  - 2017/04/20
PY  - 2017
N1  - https://doi.org/10.11648/j.sd.20170502.11
DO  - 10.11648/j.sd.20170502.11
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 77
EP  - 85
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20170502.11
AB  - The PID controller with an advantage of simple structure and easy extension is difficult to meet the requirements of the speed control system during the parameters variation and load disturbance. This paper presents a model predictive control(MPC) strategy for motor speed control based on analysis of the mathematical model of long stator linear synchronous motor(LSLSM), which utilizes move-blocking strategy to reduce the degrees of freedom of the controller by fixing the system input to keep it constant over several time. Then a low-computation MPC controller is designed for the sake of controller implementation in practice. Finally, the simulation experiments are conducted to verify the effectiveness of the proposed controller by using Matlab. Results show that the MPC controller effectively improved the dynamic performance and steady state accuracy of the system and the low-computation MPC reduced the computational complexity with a decline in accuracy.
VL  - 5
IS  - 2
ER  -

Copy | Download