基于社会情感优化算法的步进式同心圆无钟高炉布料控制研究  

Stepping ring charging control of blast furnace with bell-less top based on social emotional optimization algorithm

作　　者：马财生[1] 任廷志[1] 杨二旭 

机构地区：[1]燕山大学国家冷轧板带装备及工艺工程技术研究中心,河北秦皇岛066004

出　　处：《燕山大学学报》2017年第1期21-26,共6页Journal of Yanshan University

基　　金：国家科技支撑计划资助项目(2011BAF15B01);河北省自然科学基金资助项目(E2016203339)

摘　　要：为实现无钟高炉布料精准化,建立了基于社会情感优化算法的步进式同心圆布料控制模型。在分析步进式同心圆布料工艺特点的基础上,选取溜槽倾角作为布料控制的主要参数,以料面形状误差为控制目标,建立了步进式同心圆布料优化控制的数学模型,设计了社会情感优化算法进行优化求解。最后将控制模型应用到2 580 m^3无钟高炉进行验证,并分析了社会情感优化算法解决步进式同心圆布料控制问题的优化性能。计算结果表明:基于社会情感优化算法的步进式同心圆布料控制方法能够准确地实现期望的炉料分布,与标准遗传算法和标准粒子群算法相比,社会情感优化算法在布料控制优化中显示出准确度高和收敛速度快的优点。A method is proposed to obtain a stepping ring charging control based on the social emotional optimization algorithm （ SEOA） .The angles of chute inclination and the error of burden surface are selected as the main control parameter and the control objective respectively based on the analysis of the feature of the stepping ring charging.After that, the mathematical model for step-ping ring charging control is established, and SEOA is employed to solve problem. Finally, the control model is applied to a blast furnace which has an effective volume around 2580 m^3, the model is verified and its optimal performance is analyzed.Results show that expected burden distribution is achieved accurately after applying this model based on SEOA to the stepping ring charging con-trol, and SEOA has higher accuracy and consumes less calculating time than that of standard genetic algorithm （ SGA） and standard particle swarm optimization （ SPSO） .

关 键 词：无钟炉顶 步进式同心圆布料 控制模型 社会情感优化算法 

分 类 号：TF543.3[冶金工程—钢铁冶金]