Title :
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
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;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.703362
