Title :
Coiling temperature control of hot steel strip using combined feedforward, feedback and adaptive algorithms
Author :
Peng, Li ; Liu, Guangjun ; Zhang, Yingchun
Author_Institution :
Dept. of Aerosp. Eng., Ryerson Univ., Toronto, Ont.
Abstract :
In a hot steel strip production line, the coiling temperature control is critical for strip quality. In this paper, the coiling temperature control of a typical steel strip mill is investigated. A simplified dynamic model is introduced, based on which a cooling control scheme with combined feedforward, feedback and adaptive algorithms is developed. Simulations with a more accurate model validated using actual plant data are conducted, and the results have confirmed the effectiveness of the proposed control method
Keywords :
coils; cooling; feedback; feedforward; hot rolling; industrial control; steel; steel manufacture; strips; temperature control; adaptive algorithms; coiling temperature control; cooling control; feedback; feedforward; hot steel strip; steel strip mill; Adaptive algorithm; Aerodynamics; Cooling; Feedback; Heat transfer; Milling machines; Production; Steel; Strips; Temperature control;
Conference_Titel :
Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-9354-6
DOI :
10.1109/CCA.2005.1507259