Research On Intelligent Control Method Of Melting Speed Of Self-Consumption Electrode In Pressurized Electric Slag Furnace

High nitrogen steel is a new type of engineering material,which is introduced into high-pressure nitrogen in the electric slag furnace,and is generated by synergistic interaction with other metals,which has high toughness,corrosion resistance,strain hardening ability and good corrosion resistance.Pressurized electric remelting is a relatively mature way to produce high-nitrogen steel,and the high-nitrogen steel produced by pressurized melting has fewer impurities and compact structure,which has great research value and broad application prospects.In this topic,considering the process requirements and equipment requirements of the electrode in the nitrogen pressurized environment,the control scheme of constant slag resistance and constant melting rate is selected,and the corresponding melting rate control method is studied and discussed according to the needs of melting speed control,and the core equipment of melting speed control and melting speed data processing are introduced accordingly.Aiming at the basic characteristics of nonlinearity,time-varying and large hysteresis of the melting speed control system of pressurized electric slag furnace,the transfer function of the melting speed system is established,and the RBF neural network with self-organization and self-learning ability is first combined with traditional PID,which improves the shortcomings of traditional PID control methods in controlling speed and stability,and is more suitable for the complex industrial control environment of pressurized metallurgy site.The second step In order to further improve the control ability of RBF-PID controller to external interference,here improve the RBF-PID calculation method,use gradient method and recursive least squares method to tune network parameters,in order to improve the control accuracy,introduce the square of momentum factor and parameter momentum term to tune the controller parameters,and at the same time for the frequent acquisition of melting speed signal on the controller wear problem,propose the event trigger mechanism(ET)of RBF-PID pressurized electric slag furnace melting speed control strategy.Design event triggering based on fixed thresholds as an update condition for the melting speed controller;The third step is for the large hysteresis characteristics of the melting speed system of the pressurized electric slag furnace,it is difficult to achieve the ideal control effect only through the PID strategy of the classical structure,here the ET-RBF-PID control strategy combined with Smith estimate,which can meet the system tracking speed requirements are relatively low,the requirements of overshoot are small,and considering that the hysteresis and gain of the melting speed system of the pressurized electric slag furnace will change with the process of smelting,here the traditional Smith structure is improved and improved in MATLAB/Simulink carried out simulation experiments and obtained good experimental data,which provided a theoretical basis for the next large-scale promotion of industrial applications.