Title :
Research on intelligent control methods of iron ore rotary kiln pellets sintering process
Author :
Wang, Jiesheng ; Ren, Xiudong
Abstract :
The iron ore rotary kiln pellets sintering production system is a typical complex nonlinear multivariable process with strongly coupling and large time delays. The up-to-the-minute research results of integrated modeling and optimized operation of rotary kiln pellets sintering production process based on intelligent control methods. It mainly includes the soft-sensor modeling, working state recognition and intelligent control strategy. In the end the existent problems and future research directions in the rotary kiln control field is concluded.
Keywords :
delay systems; intelligent control; iron; kilns; multivariable control systems; nonlinear control systems; sintering; coupling; intelligent control; iron ore rotary kiln pellet; nonlinear multivariable process; sintering production process; soft-sensor modeling; time delay; working state recognition; Automation; Educational institutions; Intelligent control; Kilns; Mathematical model; Process control; Support vector machines; integrated modeling; intelligent control; rotary kiln pellets sintering;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6357931
