China Nonferrous Metallurgy

There are significant limitations in the control of the arc flow parameters of the AC electric arc furnace in the domestic metallurgical industry. Most of them are based on experience to set the working points of reactor, transformer and arc flow parameters, and lack of intelligent control of arc flow parameters for the whole process. In order to solve the problem of arc flow parameter control in the whole process of beryllium-copper alloy smelting, this paper establishes a multi-objective optimization model of the electric arc furnace smelting process from the energy perspective, and introduces Dynamic Event-triggered Mechanisms (DETMs) to optimize the model in the whole process of arc flow control, under the constraints of electrical characteristics and process indexes, the model is optimized by introducing Dynamic Event-triggered Mechanism (DETMs) to develop a smelting control strategy with synergistic effects of arc flow, arc pressure and reactance under the constraints of electrical characteristics and process specifications. The experimental results show that:① the multi-objective optimization model from the energy transfer perspective is consistent with the characteristics of the beryllium-copper alloy smelting process, and the temperature constraint is easy to observe and responds to the dynamic changes of the arc resistance to a certain extent; ② the introduction of DETMs solves the interface problem between multiple local arc flow change stages of the model, and improves the problem of lagging target value changes leading to longer smelting time; ③ the FCPs trigger arc flow target value is better than the artificial \\ timing trigger mechanism, composed of arc flow control system with strong tracking ability and robust performance, to achieve the arc flow target value ahead of the change, the local steady-state phase time consumption is shortened.