Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)

Research on Intelligence of AGC System in Hot Strip Mill

Authors
Xibang Zhang, Fengqin Wang, Ziying Liu, JianXin Fan, Xiaobin Huang
Corresponding Author
Xibang Zhang
Available Online May 2018.
DOI
10.2991/meees-18.2018.84How to use a DOI?
Keywords
Thickness control; rolling force age; monitor age; age function optimization
Abstract

The thickness control system is an important method to realize the high precision hot rolling. By analyzing the Siemens thickness control model, this paper introduces the algorithm and principle of MN-AGC with smith predictor. The SIEMENS CFC program was used for fuzzy MN-AGC function development, to solve the problem that the original Siemens AGC gain coefficient is single. After application, the strip thickness control precision has been further improved.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
10.2991/meees-18.2018.84
ISSN
2352-5401
DOI
10.2991/meees-18.2018.84How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xibang Zhang
AU  - Fengqin Wang
AU  - Ziying Liu
AU  - JianXin Fan
AU  - Xiaobin Huang
PY  - 2018/05
DA  - 2018/05
TI  - Research on Intelligence of AGC System in Hot Strip Mill
BT  - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
PB  - Atlantis Press
SP  - 486
EP  - 489
SN  - 2352-5401
UR  - https://doi.org/10.2991/meees-18.2018.84
DO  - 10.2991/meees-18.2018.84
ID  - Zhang2018/05
ER  -