Cascade Control for Hydraulic Automatic Gauge Control of Hot Rolling Mills Based on Data-driven Theory
Authors
Zhang Xiaodong, Liu Xinping, Gao Weixi
Corresponding Author
Zhang Xiaodong
Available Online June 2014.
- DOI
- 10.2991/csss-14.2014.102How to use a DOI?
- Keywords
- data driven; predictive control; automatic gauge control
- Abstract
In the paper, a cascade predictive control strategy is proposed for the hydraulic AG C (Automatic Gauge Control) system of hot rolling mills based on the data driven control theory to solve the problem of inaccurate indirect measurement and long time-delay direct measurement. Because of the influence of disturbance and uncertainties, press DAGC (Dynamic Automatic Gauge Control) secondary loop control system is added to monitor AGC main loop control system. The proposed method can improve the control precision and ability of disturbance rejection. Simulation results show that the control strategy is effective and has a better control performance.
- Copyright
- © 2014, 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 - Zhang Xiaodong AU - Liu Xinping AU - Gao Weixi PY - 2014/06 DA - 2014/06 TI - Cascade Control for Hydraulic Automatic Gauge Control of Hot Rolling Mills Based on Data-driven Theory BT - Proceedings of the 3rd International Conference on Computer Science and Service System PB - Atlantis Press SP - 434 EP - 437 SN - 1951-6851 UR - https://doi.org/10.2991/csss-14.2014.102 DO - 10.2991/csss-14.2014.102 ID - Xiaodong2014/06 ER -