Automatic Gauge Control in Rolling Process Based on Multiple Smith Predictor Models
Joint Authors
Li, Jiang-Yun
Wang, Kang
Li, Yang
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Automatic rolling process is a high-speed system which always requires high-speed control and communication capabilities.
Meanwhile, it is also a typical complex electromechanical system; distributed control has become the mainstream of computer control system for rolling mill.
Generally, the control system adopts the 2-level control structure—basic automation (Level 1) and process control (Level 2)—to achieve the automatic gauge control.
In Level 1, there is always a certain distance between the roll gap of each stand and the thickness testing point, leading to the time delay of gauge control.
Smith predictor is a method to cope with time-delay system, but the practical feedback control based on traditional Smith predictor cannot get the ideal control result, because the time delay is hard to be measured precisely and in some situations it may vary in a certain range.
In this paper, based on adaptive Smith predictor, we employ multiple models to cover the uncertainties of time delay.
The optimal model will be selected by the proposed switch mechanism.
Simulations show that the proposed multiple Smith model method exhibits excellent performance in improving the control result even for system with jumping time delay.
American Psychological Association (APA)
Li, Jiang-Yun& Wang, Kang& Li, Yang. 2014. Automatic Gauge Control in Rolling Process Based on Multiple Smith Predictor Models. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1034064
Modern Language Association (MLA)
Li, Jiang-Yun…[et al.]. Automatic Gauge Control in Rolling Process Based on Multiple Smith Predictor Models. Abstract and Applied Analysis No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1034064
American Medical Association (AMA)
Li, Jiang-Yun& Wang, Kang& Li, Yang. Automatic Gauge Control in Rolling Process Based on Multiple Smith Predictor Models. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1034064
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034064