Application of generalized predictive control in electric arc furnace based on T-S model

The generalized predictive control based on T-S fuzzy model is applied to electrode regulator systems of industrial arc furnace in this paper. T-S fuzzy model is constructed for electrode regulator system, and orthogonal least-squares method is used to identify the parameters of fuzzy ruler consequents. Local dynamic linearization is applied to the system at each sampling point. Then control action is gained using generalized predictive control. The results of simulation show that the proposed algorithm can restrain the disturbance of arc length effectively and improve the dynamic performance of the electrode regulator system. The robustness of the system is enhanced.