材料期刊网

加热炉过程具有多变量、时变、非线性、耦合、大惯性和纯滞后等特点.因此,当前对于加热炉的温度设定控制主要还是人工操作完成.本文针对加热炉温度这一复杂的工业过程,设计了一个炉温设定混合智能控制系统.首先根据作业计划,用二次性能优化方法优化加热炉运行指标,确定钢坯理想升温过程,并确定炉温设定值;然后以钢坯理想加热曲线值为给定,钢坯温度估计预报模型值为反馈,进行PID钢温反馈控制,并以此对炉温设定值进行补偿;进而利用钢坯出炉温度与轧线温度的偏差对钢坯温度进行校正,弥补钢坯温度估计预报模型存在的误差,使系统在钢坯温度估计与控制具长期有效性;同时对待轧问题给出了合理的解决.最后,建立了实时跟踪模块掌握炉内钢坯位置、温度和预计出炉时间等工况变化情况,以便相应修改炉温设定值,实时保证运行指标的优化,从而形成综合混合智能温度控制系统.并将该控制系统成功应用于某钢铁公司中板工序,取得了良好的应用效果.

Furnace temperature control has a direct impact on steel qualities and energy consumptions in a steel rolling process. Due to dramatic changes of combustion, this multi-variable process is time-varying, and also has inherent nonlinearities, couplings among the variables, large inertias and time delays. Therefore, manual operations are still being widely used in the furnace temperature control. In this paper, a two-layer control structure is proposed for furnace temperature control of a steel rolling process. This structure consists of an upper layer to set the desired temperature (set point) to be tracked by system output and a lower layer to stabilize the furnace temperature system. Here, will only introduce temperature set point.. First, according to Scheduling, Usage the second performance optimization methods to optimize the furnace operation indicators to determine the ideal billet heating process and to determine the furnace temperature set point; And then, the ideal billet heating curve for a given value, billet temperature prediction model estimates the value for feedback of PID feedback control, readjust set point value of the furnace temperature; and then, compensates the accuracy of prediction model using Billet temperature deviation between it is in rolling line and it is temperature baked. At the same time, the delay has been resolved. Finally, the real-time tracking module has been established, module mastering the location and temperature of billets in the furnace, corresponding the set point of the furnace temperature to be modify in real time to ensure optimization of performance indicators; The proposed hybrid intelligent control method has been successfully applied to some steel plant in Gansu Province, China.