Plasma Torch Height Tracking Based on Rolling Grey Prediction

Yong Sik Kye; Yun Sik Choe; Sung Chol Song; Myong Guk Paek; Gun Sik Ju; Hae Hong

doi:doi:10.11648/j.sr.20241206.13

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Plasma Torch Height Tracking Based on Rolling Grey Prediction

Yong Sik Kye, Yun Sik Choe^*, Sung Chol Song, Myong Guk Paek, Gun Sik Ju, Hae Hong

Published in Science Research (Volume 12, Issue 6)

Received: 11 October 2024 Accepted: 15 November 2024 Published: 13 December 2024

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Abstract

Among the parameters influencing plasma arc cutting, arc current, cutting speed, and plasma torch height act as the main factors. Among them, the plasma torch height plays an important role in improving the kerf width and cut quality, and the automatic control of the plasma torch height is essential due to the deformation of the workpiece during the cutting process. Therefore, according to the surface condition of the workpiece during plasma cutting, it is required to have automatic control so that the gap between the plasma nozzle and the cut workpiece remains constant. The plasma torch height control system in this paper consists of the sensing, controller, prediction, and stepper motor control system of the plasma torch height. Here, the rolling mode grey prediction algorithm is applied to predict the next state for the cutting forward direction and to control the previous data continuously updating. It is shown by the Simulink results of Matlab that the plasma torch height tracking with rolling grey prediction has better tracking accuracy than the general PID control method. In addition, the comparison between the plasma torch height tracking experimental results using the rolling grey prediction based method and the tracking experimental results using the general PID control method in the cutting test showed that the variation of the arc voltage is less, the cutting width is smaller, and the tracking performance is improved.

Published in	Science Research (Volume 12, Issue 6)
DOI	10.11648/j.sr.20241206.13
Page(s)	135-142
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

CNC Plasma Cutting, Height Control, Grey Prediction, Arc Sensing, Curve Approximation

References

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APA Style

Kye, Y. S., Choe, Y. S., Song, S. C., Paek, M. G., Ju, G. S., et al. (2024). Plasma Torch Height Tracking Based on Rolling Grey Prediction. Science Research, 12(6), 135-142. https://doi.org/10.11648/j.sr.20241206.13

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ACS Style

Kye, Y. S.; Choe, Y. S.; Song, S. C.; Paek, M. G.; Ju, G. S., et al. Plasma Torch Height Tracking Based on Rolling Grey Prediction. Sci. Res. 2024, 12(6), 135-142. doi: 10.11648/j.sr.20241206.13

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AMA Style

Kye YS, Choe YS, Song SC, Paek MG, Ju GS, et al. Plasma Torch Height Tracking Based on Rolling Grey Prediction. Sci Res. 2024;12(6):135-142. doi: 10.11648/j.sr.20241206.13

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@article{10.11648/j.sr.20241206.13,
  author = {Yong Sik Kye and Yun Sik Choe and Sung Chol Song and Myong Guk Paek and Gun Sik Ju and Hae Hong},
  title = {Plasma Torch Height Tracking Based on Rolling Grey Prediction
},
  journal = {Science Research},
  volume = {12},
  number = {6},
  pages = {135-142},
  doi = {10.11648/j.sr.20241206.13},
  url = {https://doi.org/10.11648/j.sr.20241206.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20241206.13},
  abstract = {Among the parameters influencing plasma arc cutting, arc current, cutting speed, and plasma torch height act as the main factors. Among them, the plasma torch height plays an important role in improving the kerf width and cut quality, and the automatic control of the plasma torch height is essential due to the deformation of the workpiece during the cutting process. Therefore, according to the surface condition of the workpiece during plasma cutting, it is required to have automatic control so that the gap between the plasma nozzle and the cut workpiece remains constant. The plasma torch height control system in this paper consists of the sensing, controller, prediction, and stepper motor control system of the plasma torch height. Here, the rolling mode grey prediction algorithm is applied to predict the next state for the cutting forward direction and to control the previous data continuously updating. It is shown by the Simulink results of Matlab that the plasma torch height tracking with rolling grey prediction has better tracking accuracy than the general PID control method. In addition, the comparison between the plasma torch height tracking experimental results using the rolling grey prediction based method and the tracking experimental results using the general PID control method in the cutting test showed that the variation of the arc voltage is less, the cutting width is smaller, and the tracking performance is improved.
},
 year = {2024}
}

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TY  - JOUR
T1  - Plasma Torch Height Tracking Based on Rolling Grey Prediction

AU  - Yong Sik Kye
AU  - Yun Sik Choe
AU  - Sung Chol Song
AU  - Myong Guk Paek
AU  - Gun Sik Ju
AU  - Hae Hong
Y1  - 2024/12/13
PY  - 2024
N1  - https://doi.org/10.11648/j.sr.20241206.13
DO  - 10.11648/j.sr.20241206.13
T2  - Science Research
JF  - Science Research
JO  - Science Research
SP  - 135
EP  - 142
PB  - Science Publishing Group
SN  - 2329-0927
UR  - https://doi.org/10.11648/j.sr.20241206.13
AB  - Among the parameters influencing plasma arc cutting, arc current, cutting speed, and plasma torch height act as the main factors. Among them, the plasma torch height plays an important role in improving the kerf width and cut quality, and the automatic control of the plasma torch height is essential due to the deformation of the workpiece during the cutting process. Therefore, according to the surface condition of the workpiece during plasma cutting, it is required to have automatic control so that the gap between the plasma nozzle and the cut workpiece remains constant. The plasma torch height control system in this paper consists of the sensing, controller, prediction, and stepper motor control system of the plasma torch height. Here, the rolling mode grey prediction algorithm is applied to predict the next state for the cutting forward direction and to control the previous data continuously updating. It is shown by the Simulink results of Matlab that the plasma torch height tracking with rolling grey prediction has better tracking accuracy than the general PID control method. In addition, the comparison between the plasma torch height tracking experimental results using the rolling grey prediction based method and the tracking experimental results using the general PID control method in the cutting test showed that the variation of the arc voltage is less, the cutting width is smaller, and the tracking performance is improved.

VL  - 12
IS  - 6
ER  -

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Author Information

Yong Sik Kye

Faculty of Physics, University of Science, Pyongyang, Democratic People’s Republic of Korea
Yun Sik Choe

Faculty of Physics, University of Science, Pyongyang, Democratic People’s Republic of Korea

Contact Email
Sung Chol Song

Faculty of Physics, University of Science, Pyongyang, Democratic People’s Republic of Korea
Myong Guk Paek

Faculty of Physics, University of Science, Pyongyang, Democratic People’s Republic of Korea
Gun Sik Ju

Faculty of Physics, University of Science, Pyongyang, Democratic People’s Republic of Korea
Hae Hong

Institute of Lasers, State Academy of Science, Pyongyang, Democratic People’s Republic of Korea

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APA Style

Kye, Y. S., Choe, Y. S., Song, S. C., Paek, M. G., Ju, G. S., et al. (2024). Plasma Torch Height Tracking Based on Rolling Grey Prediction. Science Research, 12(6), 135-142. https://doi.org/10.11648/j.sr.20241206.13

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ACS Style

Kye, Y. S.; Choe, Y. S.; Song, S. C.; Paek, M. G.; Ju, G. S., et al. Plasma Torch Height Tracking Based on Rolling Grey Prediction. Sci. Res. 2024, 12(6), 135-142. doi: 10.11648/j.sr.20241206.13

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AMA Style

Kye YS, Choe YS, Song SC, Paek MG, Ju GS, et al. Plasma Torch Height Tracking Based on Rolling Grey Prediction. Sci Res. 2024;12(6):135-142. doi: 10.11648/j.sr.20241206.13

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@article{10.11648/j.sr.20241206.13,
  author = {Yong Sik Kye and Yun Sik Choe and Sung Chol Song and Myong Guk Paek and Gun Sik Ju and Hae Hong},
  title = {Plasma Torch Height Tracking Based on Rolling Grey Prediction
},
  journal = {Science Research},
  volume = {12},
  number = {6},
  pages = {135-142},
  doi = {10.11648/j.sr.20241206.13},
  url = {https://doi.org/10.11648/j.sr.20241206.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20241206.13},
  abstract = {Among the parameters influencing plasma arc cutting, arc current, cutting speed, and plasma torch height act as the main factors. Among them, the plasma torch height plays an important role in improving the kerf width and cut quality, and the automatic control of the plasma torch height is essential due to the deformation of the workpiece during the cutting process. Therefore, according to the surface condition of the workpiece during plasma cutting, it is required to have automatic control so that the gap between the plasma nozzle and the cut workpiece remains constant. The plasma torch height control system in this paper consists of the sensing, controller, prediction, and stepper motor control system of the plasma torch height. Here, the rolling mode grey prediction algorithm is applied to predict the next state for the cutting forward direction and to control the previous data continuously updating. It is shown by the Simulink results of Matlab that the plasma torch height tracking with rolling grey prediction has better tracking accuracy than the general PID control method. In addition, the comparison between the plasma torch height tracking experimental results using the rolling grey prediction based method and the tracking experimental results using the general PID control method in the cutting test showed that the variation of the arc voltage is less, the cutting width is smaller, and the tracking performance is improved.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Plasma Torch Height Tracking Based on Rolling Grey Prediction

AU  - Yong Sik Kye
AU  - Yun Sik Choe
AU  - Sung Chol Song
AU  - Myong Guk Paek
AU  - Gun Sik Ju
AU  - Hae Hong
Y1  - 2024/12/13
PY  - 2024
N1  - https://doi.org/10.11648/j.sr.20241206.13
DO  - 10.11648/j.sr.20241206.13
T2  - Science Research
JF  - Science Research
JO  - Science Research
SP  - 135
EP  - 142
PB  - Science Publishing Group
SN  - 2329-0927
UR  - https://doi.org/10.11648/j.sr.20241206.13
AB  - Among the parameters influencing plasma arc cutting, arc current, cutting speed, and plasma torch height act as the main factors. Among them, the plasma torch height plays an important role in improving the kerf width and cut quality, and the automatic control of the plasma torch height is essential due to the deformation of the workpiece during the cutting process. Therefore, according to the surface condition of the workpiece during plasma cutting, it is required to have automatic control so that the gap between the plasma nozzle and the cut workpiece remains constant. The plasma torch height control system in this paper consists of the sensing, controller, prediction, and stepper motor control system of the plasma torch height. Here, the rolling mode grey prediction algorithm is applied to predict the next state for the cutting forward direction and to control the previous data continuously updating. It is shown by the Simulink results of Matlab that the plasma torch height tracking with rolling grey prediction has better tracking accuracy than the general PID control method. In addition, the comparison between the plasma torch height tracking experimental results using the rolling grey prediction based method and the tracking experimental results using the general PID control method in the cutting test showed that the variation of the arc voltage is less, the cutting width is smaller, and the tracking performance is improved.

VL  - 12
IS  - 6
ER  -

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