摘要
针对大型钛渣电炉生产中炉压、一氧化碳含量、电流等参数属于非线性变量的状况,提出一种类似于标准的操作方法,基于模糊神经网络的智能协调控制方案,应用提前算法对模糊神经网络结构和参数进行优化,并采用神经网络模块与PLC的逻辑梯形图语言编程实现智能协调运算,实际应用后,冶炼时间缩短,电耗降低。
The paper puts forward a sort of operation method similar to standard according to the non-linear variable of furnace pressure, content of carbon monoxide and current in big scale titanium slag furnace. The paper states that smelting period could be shorted and power consumption could be decreased by using intelligent coordination scheme based on Fuzzy Neural Network （FNN） and advance calculation on the structure and optimizing parameter of FNN, and by intelligent coordination calculation using FNN module and the ladder logic programming language of PLC.
出处
《中国有色冶金》
北大核心
2008年第4期47-49,66,共4页
China Nonferrous Metallurgy
关键词
钛渣
电炉
PLC
模糊神经网络
智能控制
titanium slag
Electric Furnace
PLC
Fuzzy Neural Network （FNN）
intelligent control
