基于模型预测控制的电弧炉智能调节系统  

Intelligent regulating system of electric arc furnace based on model predictive control

作　　者：任雪[1] 李强[1] 

机构地区：[1]西安理工大学自动化与信息工程学院,陕西西安710048

出　　处：《电气传动自动化》2016年第2期34-37,40,共5页Electric Drive Automation

摘　　要：在以废钢为主要原料的电炉短流程炼钢过程中,电极自动调节装置是主要的研究对象。目前,普遍采用的PID控制结合手动操作的操作方式,仅能对电弧炉目前的状态做出反应,调节明显滞后于实际状况的变化,并且由于电弧炉本身的高度非线性和时变性,会导致功率变坏,综合效益下降。提出一种基于预测控制滚动优化模型的控制算法对电极进行调节,仿真结果表明,该算法有效地抑制了弧长扰动,将弧流弧压稳定在某一范围内,大大提高了整个系统的快速性及平稳性,达到了始终以最大功率冶炼的效果。In the electric arc furnace steel-making process with the scrap steel as the primary material,the electrode automatic regulating system becomes the main research object. At present,the mix operation of PID control and manual operation is commonly adopted. Since it only reacts to the curremt state of the electric arc furnace and its adjusting obviously lagged behind the actual changes,moreover,it has highly non-linearity and time-changing properties,it leads to the deterioration power and the poor comprehensive profits. The control algorithm based on predictive control rolling optimization model for regulation of the electrode is presented. The simulating results show that this algorithm can effectively restrain the disturbance of the arc length,and can stabilize the arc current and arc voltage within a certain range. It not only improves the rapidity and stability of the system,but also realizes the purpose of smelting with the maximum power all the time.

关 键 词：电弧炉 电极调节系统 预测控制模型 滚动优化 

分 类 号：TF748.41[冶金工程—钢铁冶金]