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

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4 Author(s)
Zhang Shi-feng ; Sch. of Electr. Eng. & Inf., Anhui Univ. of Technol. ; Zhang Shao-de ; Li Kun ; Zheng Xiao

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

Published in:

Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International  (Volume:3 )

Date of Conference:

14-16 Aug. 2006