Cascade Control for Hydraulic Automatic Gauge Control of Hot Rolling Mills Based on Data-driven Theory

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/).

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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  -