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Modeling and control of flatness in cold rolling mill using fuzzy petri nets

Dosthosseini, R., Sheikholeslam, F., Askari, J. and Kouzani, A. Z. 2010, Modeling and control of flatness in cold rolling mill using fuzzy petri nets, in ICCA 2010 : Proceedings of the 8th IEEE International Conference on Control and Automation, IEEE, Piscataway, N.J., pp. 181-186.

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Title Modeling and control of flatness in cold rolling mill using fuzzy petri nets
Author(s) Dosthosseini, R.
Sheikholeslam, F.
Askari, J.
Kouzani, A. Z.
Conference name IEEE International Conference on Control and Automation (8th : 2010 : Xiamen, China)
Conference location Xiamen, China
Conference dates 9-11 June 2010
Title of proceedings ICCA 2010 : Proceedings of the 8th IEEE International Conference on Control and Automation
Editor(s) Chen, Ben M.
Li, Maoquing
Wang, Jianliang
Luo, Jian
Publication date 2010
Conference series International Conference on Control and Automation
Start page 181
End page 186
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Control
Modelling
Cold Rolling Mill
Fuzzy Petri Nets
Summary Today, having a good flatness control in steel industry is essential to ensure an overall product quality, productivity and successful processing. Flatness error, given as difference between measured strip flatness and target curve, can be minimized by modifying roll gap with various control functions. In most practical systems, knowing the definition of the model in order to have an acceptable control is essential. In this paper, a fuzzy Petri net method for modeling and control of flatness in cold rolling mill is developed. The method combines the concepts of Petri net and fuzzy control theories. It focuses on the fuzzy decision making problems of the fuzzy rule tree structures. The method is able to detect and recover possible errors that can occur in the fuzzy rule of the knowledge-based system. The method is implemented and simulated. The results show that its error is less than that of a PI conventional controller.
ISBN 9781424451951
ISSN 1948-3449
Language eng
Field of Research 090602 Control Systems, Robotics and Automation
091302 Automation and Control Engineering
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2010
Copyright notice ©2010, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30029966

Document type: Conference Paper
Collections: School of Engineering
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Created: Fri, 10 Sep 2010, 13:05:09 EST by Abbas Kouzani

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.