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/).
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 -