DocumentCode
3215044
Title
Model for Control of a Tandem Hot Metal Strip Rolling Process
Author
Pittner, John ; Simaan, Marwan A.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Pittsburgh, Pittsburgh, PA
fYear
2008
fDate
5-9 Oct. 2008
Firstpage
1
Lastpage
8
Abstract
The tandem rolling of hot metal strip presents a significant control challenge because of nonlinearities and process complexities. The challenge is heightened by an extremely hostile environment that precludes the location of sensors to measure process variables that are important for control. In addition, it is essential that the controller structure allows for a high degree of physical intuition in the design process and provides for simplicity of tuning during commissioning. Based on our previous work using a state-dependent Riccati equation technique for control of the tandem cold rolling process, it is considered that a similar method also might be useful as a basis for the development of a control technique for tandem hot strip rolling. For the hot rolling process, the development of a process model in a form that is suitable for use with a state-dependent Riccati equation-based method is a significant and challenging task. This paper describes our work to develop an initial portion of this model. Based on simulation results, it is determined that the initial part of the model has the potential to be useful in the development of the complete nonlinear model that can be used for development of a viable control method which offers the likelihood for improvement in the control of the hot metal rolling process.
Keywords
Riccati equations; hot rolling; metallurgical industries; nonlinear control systems; process control; hot metal strip; nonlinear control method; state-dependent Riccati equation; tandem rolling process control; Control nonlinearities; Finishing; Milling machines; Nonlinear equations; Riccati equations; Slabs; Steel; Strips; Temperature control; Temperature distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Industry Applications Society Annual Meeting, 2008. IAS '08. IEEE
Conference_Location
Edmonton, Alta.
ISSN
0197-2618
Print_ISBN
978-1-4244-2278-4
Electronic_ISBN
0197-2618
Type
conf
DOI
10.1109/08IAS.2008.331
Filename
4659119
Link To Document