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The research of multi-modality control strategy of arc furnace electrode regulation

During the electric arc furnace work process, electrode arc lengths show strong random disturbs and lead to performance deterioration such as power consumption, product quality and electric network. Using a single control strategy can not satisfy the requirements of different work conditions. This paper bases on the experiences of experts, puts forward division measures of multi modality control strategy for different requirements to adjust to the smelting temperatures and power of different stages in steel making process. It identifies the feature motion state of the electric arc furnace on line, and then selects the optimal controller in different phases to deal with the problem. In this paper, multi-modality division, program implementation and algorithm model used in control strategy provide a theoretical basis and model reference for the optimal design of electric arc furnaces electrode regulator system.