摘要
设计了基于工业计算机网络的电弧炉控制系统 ,采用三层网络结构即管理层、控制层和设备层来完成对电弧炉和精炼炉的控制。系统可实现炼钢过程的优化控制及数据监控 ,完成作业优化 ,提高作业效率。电弧炉和精炼炉控制采用控制专家系统 ,并提出了一种新的基于预估补偿的控制 ,利用神经网络预估对象状态 ,进而对常规控制器的输出做出补偿以使系统能较好地适应负荷和外部扰动的变化 。
This paper designs a electric arc furnace control system based on ethernet,control net and device net.The system′s control architecture is divided into three layers,namely,management,control and equipment.It can achieve the optimization control,data monitor of steel making process,complete operation optimization and improve the production efficiency.It presents a new EAF(electric arc furnace)control method based on ES(expert system)and a neural network′s compensating by predicting.The neural network is used here to predict the condition of EAF then to control an actual system by compensating the output of routine controller.Hence the system can adapt itself more better to the variations in load and external interference,which can gain a satisfied control quality.
出处
《电工技术学报》
EI
CSCD
北大核心
2001年第5期86-90,共5页
Transactions of China Electrotechnical Society
