Title :
The neural network decoupling control based on the internal model control
Author :
Li, Ming ; Zhou, Zekui ; Shi, Lilian
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
Abstract :
Aiming at the multivariant, nonlinear, time-variation and strong coupling plant in the electrode lift control system of the ladle furnace, a novel control strategy of the neural network decoupling control based on the internal model control was proposed, which has the advantages both the internal model control and the neural network decoupling control. The validity of the control strategy is verified by the results of simulation analysis.
Keywords :
lifts; multilayer perceptrons; neurocontrollers; nonlinear control systems; electrode lift control system; internal model control; ladle furnace system; neural network decoupling control; neurocontrollers; nonlinear control system; simulation analysis; Control system synthesis; Control systems; Couplings; Electrodes; Furnaces; Neural networks; Nonlinear control systems; Programmable control; Steel; Voltage;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342076
