-arc Furnace Electrode Regulating System Design And Control Algorithm Research

As the main equipment of ferroalloy production, submerged arc furnace heats up raw materials through the arc heat and resistance heat, so that reduction reactions can take place under certain temperatures to produce ferroalloy production. Three-phase electrode position in charge will affect the power of the electrodes enter the furnace. Control of the three-phase electrode has a direct effect on the product quality and energy consumption.The paper is on the background of an improvement project for the silicon manganese alloy smelting furnace, which belongs to a ferroalloy plant. After a comprehensive analysis of system problems and deficiencies, the paper proposes a new design. The design takes the IPC as the upper computer, Siemens programmable logic controller (PLC) as the lower machine, and constructs a complete set of process supervisory control system. By means of the photoelectric encoder and the magneto-strictive ultrasonic displacement sensor, the paper detects the three-phase electrodes moving distance. By considering the normal and abnormal loss of electrode, this paper designs the electrode position method of real-time estimation, the estimation method for electrode lifting control algorithm provides an effective basis. The paper transforms the original electrode lifting system, and the frequency inverter is used to achieve the stepless speed regulation of the electrode movements.Considering the submerged arc furnace electrode lifting system of three-phase current strong coupling, nonlinear and time-varying, the paper designs an adaptive decoupling control algorithm. The main design features of the algorithm are as follows:First, the paper introduced the non-parametric model of the nonlinear system, and linearized the three-phase electrode current-location system. Then, adaptive synovial variable structure control is adapted to control the three-phase electrode lifting system parameters variability. Finally, by radial basis function neural network control algorithm, the paper achieved the three-phase electrode lifting system decoupling control. The simulation results show that the algorithm has good control effect, effectively improves the dynamic performance of the system, and makes up the coupling effect between the variables.