摘要
工业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。当前对于加热炉温度的设定值主要还是人工操作给出。针对加热炉温度这一复杂的工业过程,设计了一个具有炉温设定的控制系统。通过建立指标优化、理想加热曲线、加热策略、待轧策略、轧线纠正、钢坯升温、钢坯温度预报和跟踪等模型以及对钢坯温度的控制,产生炉温设定值。保证炉温设定值与产量指标随工况变化实时处于优化状态。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。
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. A control method was proposed for furnace temperature control of industry. This method was to set the desired temperature (setpoint) to be tracked by system output. The proposed method was comprised of a techniques indices optimization model, a ideal heating model, a furnace temperature model, a delay model, a correcting model of the ideal heating curve with billet temperature at rolling line, a billet temperature model of on-line calculation, a prediction model of temperature & location, a decision model of furnace temperature, and a billet temperature control. The proposed control method with good effect has been successfully applied to some steel plant in Gansu Province, China.
出处
《钢铁研究学报》
CAS
CSCD
北大核心
2010年第9期53-57,共5页
Journal of Iron and Steel Research
基金
国家自然科学基金资助项目(2009CB320601)
关键词
加热炉
复杂工业过程
插值法
混合智能控制
工艺指标
heating furnace
complex industrial process
interpolation
hybrid intelligent control
process indicator