Title :
Application on neural PID control of MN-AGC in continuous hot rolling
Author :
Li, Boqun ; Guo, Jiaren ; Zhao, Zhiyong
Author_Institution :
Sch. of Electron. & Inf. Eng., Univ. of Sci. & Technol., Anshan, China
Abstract :
It is always primary object to improve gauge control accuracy in hot strip mills. Limitation based on conventional PID emerged when the controlled object is complex, nonlinear and time-variant. MN-AGC based on single neuron PID controller is introduced for improving automatic gauge control accuracy and quality in continuous hot rolling. The controller is applied in hydraulic AGC of 1700ASP. The practical application results have shown the effectiveness of this algorithm and control performance gets much better.
Keywords :
gauges; hot rolling; neurocontrollers; nonlinear control systems; three-term control; MN-AGC; automatic gauge control accuracy; continuous hot rolling; hydraulic AGC; neural PID control; nonlinear systems; single neuron PID controller; time-variance; Automatic control; Control systems; Delay effects; Fluctuations; Milling machines; Neurons; Strips; Thermal expansion; Three-term control; X-rays; Continuous hot rolling; PID control; Screw down MN-AGC; Single neural;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498834
