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Modelling and simulator development for electric arc furnaces (EAFs) are of significant importance in designing control systems and in performance optimisation of EAFs. This paper presents a method based on adaptive neuro-fuzzy inference systems (ANFIS) for modelling and simulating EAFs with the focus on the regulator loop that is used for positioning the electrodes. The effectiveness of the simulator...
This paper presents the use of adaptive neurofuzzy inference systems (ANFIS) in simulating the regulator control loop of the electrical arc furnace (EAF). The regulator loop is the core part of steel making EAF, which controls positioning of the electrodes. The non-linearity and complexity of EAF makes it very difficult to use the classical mathematical modeling techniques in building the process...
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