基于智能方法的铁矿石烧结过程建模  

Modeling of iron ore sintering process based on intelligent method

作　　者：龙红明[1] 范晓慧[1] 陈许玲[1] 袁晓丽[1] 

机构地区：[1]中南大学资源加工与生物工程学院,湖南长沙410083

出　　处：《冶金自动化》2006年第6期19-22,共4页Metallurgical Industry Automation

基　　金：国家自然科学基金;上海宝钢集团公司联合资助(50374080);教育部新世纪优秀人才支持计划(NCET-05-0690)

摘　　要：针对铁矿石烧结过程控制复杂性问题,提出了一种将其分解为烧结矿化学成分控制和烧结终点控制的方案。根据不同模型的控制目标差异,分别采用人工神经网络,模糊控制算法建立控制模型。工业现场应用表明,这种方法切实可行,是解决烧结过程控制复杂性问题的一条有效途径。A control scheme of decompounding sintering process control into two branch control models, chemical composition and control of bum-through point was put forward aiming at the problem of control complexity of iron ore sintering process. According to the different goals of the two models, technology of artificial neural networks and fuzzy control algorithm were used to construct control models accordingly. Practice shows that the scheme is feasible, and it is an effective approach to the problem of control complexity of iron ore sintering process.

关 键 词：铁矿石烧结 化学成分预报 烧结终点控制 

分 类 号：TF046.4[冶金工程—冶金物理化学]