Model Reference Adaptive Control based on Neural Network for Electrode System in Electric Arc Furnace

Author

Shi-feng, Zhang ; Shao-de, Zhang ; Kun, Li ; Xiao, Zheng

Author_Institution

Sch. of Electr. Eng. & Inf., Anhui Univ. of Technol.

Volume

3

fYear

2006

fDate

14-16 Aug. 2006

Firstpage

1

Lastpage

3

Abstract

Control strategy of model reference adaptive control (MRAC) based on radial basis function neural network (RBFNN) online identification is proposed, and a controller is also designed. Which in accordance with the characteristics of the electrode system in electric arc furnace as the high nonlinearity, time-variant, uncertainty and multivariable input and output coupling. The validity of control strategy is verified by result of experimentation

Keywords

adaptive control; arc furnaces; control engineering computing; control system synthesis; electrodes; radial basis function networks; controller; electric arc furnace; electrode system; model reference adaptive control; online identification; radial basis function neural network; Adaptive control; Control systems; Couplings; Electrodes; Furnaces; Neural networks; Nonlinear control systems; Pressure control; Process control; Uncertainty; RBF neural network; adaptive decouple controller; electric arc furnace; electrode control; online identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International

Conference_Location

Shanghai

Print_ISBN

1-4244-0448-7

Type

conf

DOI

10.1109/IPEMC.2006.4778237

Filename

4778237