预测控制在步进梁加热炉先进控制中的应用研究

Predictive Control of Walking-Beam Reheating Furnace

传统的步进梁加热炉控制采用经典PID控制器 ,在流量的平稳性 ,温度的快速跟踪等方面受到控制器本身的限制 ,而且不能达到好的解耦效果。使用基于预测控制的多变量约束控制算法 ,采用两级预测的方法 ,针对上海宝钢步进梁加热炉模型 ,进行了综合控制的仿真研究。控制策略将节能指标纳入控制器的设计 ,对燃料流量和空气流量采用综合控制。仿真结果表明了这种先进控制算法在解耦、节能指标、跟踪平稳性等方面表现出了良好性能 ,表现了多变量控制的优点 ,使预测控制在加热炉对象上的成功应用有了理论上的证实。

Reheating furnace is an important device with complex dynamic characteristics in steel plants.The temperature tracing control of reheating furnace has great importance both to the quality of slabs and energy saving.We used a model-based control strategy,multivariable constrained control (MCC) for the reheating furnace control.With this control method,the furnace is treated as a six-input-six-output general model with loops coupled in nature.Compared to the traditional control,the proposed control strategy gets better temperature tracing accuracy and exhibits some energy saving feature.Simulation results show that the performance of the furnace is highly improved.