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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...
Submerged arc furnace is a system with strong coupling, nonlinearity and time-variability. In this paper, a logistic-interpolation-based fuzzy controller for electrode regulation of submerged arc furnace is proposed. The proposed controller is based on fuzzy logic control strategy, and interpolation algorithm is employed to improve the control accuracy without raising complexity of the controller...
The generalized predictive control is applied to the industrial arc furnace electrode regulator system. The detailed design procedure of the generalized predictive controller is presented. Based on multi-step prediction, rolling optimization and online correction, the optimal control law is obtained. The results of simulation show that this proposed algorithm can restrain arc disturbance effectively,...
This paper presents an approach to fuzzy type-2 Proportional-Integral-Derivative (PID) controls for the electrode positions in an Electric Arc Furnace (EAF). Due to the fluctuating power requirements and associated uncertainties of the EAF during operations, use of an accurate membership function is unreasonable. Therefore, fuzzy type-2 sets is applied for EAF controls. In this paper it is also proved...
This paper describes flowing of molten metal in a novel electric arc furnace. Combined AC and DC components are used in the supply system for the furnace. Finite element method is used to investigate the impact of AC component frequency on the flowing of molten metal.
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