基于多变量推理控制的氩氧精炼铬铁合金终点控制方法

为提升冶炼精度和效率,减少资源浪费.建立了氧气和氩气两种气体的供给速率与碳含量变化情况,以及二者供给速率与钢液温度变化的机理模型.构建了以终点碳含量与温度为输出,氧气和氩气供给速率为输入的多变量推理控制框架,设计了有效的V型多变量推理控制器.结合实际生产过程中的最大气体供给速率,用以限制系统的控制量输入,建立了基于多变量推理控制的氩氧精炼低碳铬铁合金终点控制系统.仿真结果表明:该系统能够消除外界不可测扰动对系统的影响,做出准确的冶炼精度控制,且将钢液温度控制在炉内最大承受温度以下,有利于延长炉役,避免出现喷溅现象产生,实现终点控制.

Argon-oxygen refining ferrochromium alloy end point control method based on multivariable inference control

In this paper, the mechanism model of the change of the supply rate and carbon content of the two gases of oxygen and argon, as well as the change of the supply rate of the two gases and the temperature of the molten iron is established. A multivariable inference control framework was constructed with the end carbon content and temperature as output, and oxygen and argon supply rates as input, and an effective V-type multivariable inference controller was designed. Combined with the maximum gas supply rate in the actual production process to limit the input of the control quantity of the system, an end point control system for argon-oxygen refining low-carbon ferrochromium alloy based on multivariable inference control was established. The simulation results show that the system can eliminate the impact of external unpredictable disturbances on the system, make accurate smelting precision control, and control the temperature of the molten iron below the maximum temperature in the furnace, which is beneficial to prolong the furnace service and avoid the occurrence of splashing To achieve end point control.