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Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 1070517, 10 pages
Research Article

Modeling and Extended State Observer Based Dynamic Surface Control for Cold Rolling Mill System

1The State Key Laboratory of Rolling Automation, Northeastern University, Shenyang 110819, China
2School of Resources and Materials, Northeastern University, Qinhuangdao Branch, Qinhuangdao 066004, China

Received 23 September 2015; Revised 17 January 2016; Accepted 16 February 2016

Academic Editor: Thierry Floquet

Copyright © 2016 Xu Li and Xin Zhang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The modeling and control problems are investigated for cold rolling mill system. Firstly, we establish a monitor automatic gauge control (MAGC) model for a practical cold rolling mill system. The new model is with mismatched uncertainties. Then, an extended state observer (ESO) is developed to estimate uncertainties. In the general high-order systems, the ESO is also used to estimate states. By dynamic surface control method, we design the controller to guarantee stabilization of the cold rolling mill system. Furthermore, we extend proposed method to general high-order systems, in which we analyze the difference from cold rolling mill system. Finally, simulation results for MAGC system are presented to demonstrate the effectiveness of the proposed control strategy.