| 基于智能方法的铁矿石烧结过程建模 |
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| 引用本文： | 龙红明,范晓慧,陈许玲,袁晓丽.基于智能方法的铁矿石烧结过程建模[J].冶金自动化,2006,30(6):19-22. |
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| 作者姓名： | 龙红明 范晓慧 陈许玲 袁晓丽 |
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| 作者单位： | 中南大学,资源加工与生物工程学院,湖南,长沙,410083 |
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| 基金项目： | 国家自然科学基金;上海宝钢集团公司资助项目;教育部跨世纪优秀人才培养计划 |
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| 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。
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| 关 键 词： | 铁矿石烧结 化学成分预报 烧结终点控制 |
| 文章编号： | 1000-7059（2006）06-0019-04 |
| 收稿时间： | 2006-05-20 |
| 修稿时间： | 2006-07-19 |
Modeling of iron ore sintering process based on intelligent method |
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| LONG Hong-ming,FAN Xiao-hui,CHEN Xu-ling,YUAN Xiao-li.Modeling of iron ore sintering process based on intelligent method[J].Metallurgical Industry Automation,2006,30(6):19-22. |
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| Authors: | LONG Hong-ming FAN Xiao-hui CHEN Xu-ling YUAN Xiao-li |
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| Affiliation: | School of Resources Processing and Binengineering, Central South University, Changsha, 410083, China |
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| Abstract: | A control scheme of decompounding sintering process control into two branch control models,chemical composition and control of burn-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. |
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| Keywords: | iron ore sintering prediction of chemical composition control of burn-through point |
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