燕山大学学报2017，Vol.41Issue(6)：503-509,7.DOI:10.3969/j.issn.1007-791X.2017.06.004
无钟高炉螺旋布料料面预测与优化控制研究
Research on burden surface prediction and optimal control of spiral charging at bell-less top blast furnace
摘要
Abstract
An optimal control method is developed to achieve accurate spiral charging based on particle swarm optimization. Based on the law of heap formation in the furnace throat, a model for burden surface prediction is established, which adapts to the improvement of the non-contact burden surface measurement technology.Based on the spiral charging characteristics, a mathematical model for spiral charging optimal control is established, and the particle swarm optimization is designed for model solving. Finally, the model is verified in an actual blast furnace whose effective volume is around 2580 m3.The results show that the optimal control model based on particle swarm optimization is able to obtain expected burden distribution accurately and give full play to the advantages of device flexibility.关键词
无钟高炉/螺旋布料/料面预测/优化控制/粒子群算法Key words
blast furnace with bell-less top/spiral charging/burden surface prediction/optimal control/particle swarm optimization分类
矿业与冶金引用本文复制引用
马财生,韩骏,杨二旭,张志达,任廷志..无钟高炉螺旋布料料面预测与优化控制研究[J].燕山大学学报,2017,41(6):503-509,7.基金项目
国家科技支撑计划资助项目(2011BAF15B01) （2011BAF15B01）
秦皇岛市科技支撑计划项目(201703A021) （201703A021）
