A real-time expert system with GPC for cold strip mill

Author

Xue, Anke ; Sun, Youxian

Author_Institution

Res. Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China

Volume

6

fYear

1998

fDate

21-26 Jun 1998

Firstpage

3824

Abstract

In this paper, a real-time expert system for cold strip mill is developed using a generalized predictive control (GPC) approach. A simple model of the cold strip mill for gauge and shape regulation is derived. The expert system captures such an engineer´s knowledge for gauge and shape regulation and builds a knowledge base which contains both structural and behavioral knowledge. For the purpose of real time control, a rule-based regulator is proposed. Simulation results are given in the paper to show the good performance of the system designed by the proposed method

Keywords

cold rolling; expert systems; knowledge acquisition; knowledge representation; predictive control; process control; real-time systems; steel industry; thickness control; cold strip mill; expert system; gauge control; generalized predictive control; knowledge based system; real-time system; shape control; steel industry; Control systems; Electrical equipment industry; Expert systems; Milling machines; Predictive control; Predictive models; Real time systems; Regulators; Shape control; Strips;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1998. Proceedings of the 1998

Conference_Location

Philadelphia, PA

ISSN

0743-1619

Print_ISBN

0-7803-4530-4

Type

conf

DOI

10.1109/ACC.1998.703362

Filename

703362