Modeling and Extended State Observer Based Dynamic Surface Control for Cold Rolling Mill System
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Li, Xu& Zhang, Xin. 2016. Modeling and Extended State Observer Based Dynamic Surface Control for Cold Rolling Mill System. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111693
Modern Language Association (MLA)
Li, Xu& Zhang, Xin. Modeling and Extended State Observer Based Dynamic Surface Control for Cold Rolling Mill System. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1111693
American Medical Association (AMA)
Li, Xu& Zhang, Xin. Modeling and Extended State Observer Based Dynamic Surface Control for Cold Rolling Mill System. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111693
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111693