MSc Thesis EAF

In an Electric Arc Furnace (EAF), the primary source of power for melting scrap is electrical energy, necessitating a comprehensive understanding of the process to optimize power consumption. This thesis aims to model the EAF using an object-oriented approach, which allows for the separate analysis of its main subsystems, including the electrical system and electrode positioning dynamics. A fuzzy P-like impedance controller was developed based on the implemented model to ensure efficient control of electrode movements, crucial for maintaining desired power levels, given that arc power is dependent on the length of the electric arcs. The methodology employed involves using Dymola™, a dynamic modeling environment that supports hierarchical decomposition and modular reconfiguration of components without altering the overall structure. The results from simulations conducted show a favorable correspondence with previous literature, affirming the robustness of the model. Additionally, the thesis discusses the multi-level control strategy designed for the EAF's electrical system, focusing on power, impedance, and hydraulic control. Overall, the findings signify the potential of object-oriented modeling and fuzzy control in enhancing the operational efficiency of Electric Arc Furnaces.