Title :
Application of MN-AGC based on intelligent control in continuous hot rolling
Author :
Li, Bo-qun ; Le Yu
Author_Institution :
Sch. of Electron. & Inf. Eng., Univ. of Sci. & Technol. Liaoning, Anshan
Abstract :
It is always primary object to improve gauge control accuracy in hot strip mills. Limitation based on conventional PID emerges when the controlled object is strong nonlinear, uncertain and multi-constrained features. BP-PID control strategy is introduced in MN-AGC for realizing finished combination of controller parameters. The practical application results have shown the effectiveness of this algorithm. The controller has better adaptability for varieties of model parameters and environment changes, which makes a output follow system input tracks faster.
Keywords :
adaptive control; gauges; hot rolling; neurocontrollers; nonlinear control systems; process control; rolling mills; strips; three-term control; uncertain systems; BP neural network; BP-PID control strategy; MN-AGC system; adaptive controller; backpropagation; continuous hot rolling; gauge control; hot strip mill; intelligent control; multi constrained feature; nonlinear system; uncertain system; Automatic control; Control systems; Intelligent control; Milling machines; Neural networks; Nonlinear control systems; Pi control; Proportional control; Strips; Three-term control; BP neural network; hot strip; monitor AGC;
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
DOI :
10.1109/ICAL.2008.4636570
