基于NSGAⅡ算法的电弧炉优化配料模型研究  被引量:3

Study on Optimized Charge Proportioning for Steel-making of EAF Based on NSGAⅡ

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作  者:王红君[1] 冯国良 赵辉[1,2] 岳有军 WANG Hong-jun;FENG Cruo-liang;ZHAO Hui;YUE You-jun(Tianjin Key Laboratory of Control Theory & Applications in Complicated System,Tianjin University of Technology,Tianjin 300384,China;Schnol of Engineering and Technology,Tianjin Agricultural University,Tianjin 300384,China)

机构地区:[1]天津理工大学复杂系统控制理论与应用重点实验室,天津300384 [2]天津农学院工程技术学院,天津300384

出  处:《控制工程》2018年第8期1409-1414,共6页Control Engineering of China

基  金:天津市科技支撑计划重点项目(2013ZCZDGX03800)

摘  要:作为电弧炉生产过程中的先行环节,配料好坏对冶炼钢种的品质和产品能耗至关重要。模型以物料平衡、能量守恒、数学规划理论以及电弧炉冶金过程中的物理化学反应原理为基础,在考虑一般性约束的前提下,将电弧炉生产的各工艺条件约束和有利于电弧炉节能降耗方面的约束纳入其中,同时以最低配料成本和最低吨钢能耗为目标函数建立起双目标数学规划模型并采用NSGAⅡ算法对模型求解,该算法同时采用了精英保存策略和多样性保护方法,性能和效率都优于传统的进化算法并且计算较简单,保证了炉料结构在生产中的可行性和准确性,为电弧炉配料研究提供思路。As the first step of electric arc furnace production, burden structure is vital to the quality of smelting steel and energy consumption of products. This model is based on the theories of material balance, energy conservation, the mathematical programming theory as well as physical and chemical reaction in the process of electric arc furnace production. On the premise of considering the general constraint, the model thoroughly integrates the factors of steel-making technique constraints and energy consumption constraints. Meanwhile, using the lowest cost of ingredients and minimum energy consumption of per ton steel as the objective function, a double objective mathematical programming model is established to ensure the feasibility and accuracy of the burden structure in the production of EAF. The model is solved by NSGAⅡ. This algorithm is preserved by the elite strategy and diversity protection method simultaneously, the performance and efficiency is superior to the traditional evolutionary algorithm and is easy to realize. At the same time, this model also provides ideas for the research on electric arc furnace burden structure.

关 键 词:电弧炉 炉料结构 多目标数学模型 NSGAⅡ算法 

分 类 号:TP182[自动化与计算机技术—控制理论与控制工程]

 

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