Burden Distribution Control Based on Adaptive Genetic Algorithm in Bell-less Blast Furnace

摘要：

　　The proper control of the ratio of ore to coke distribution(ROCD)can achieve energy saving of the blast furnace(BF).In order to achieve the desired ROCD,it is meaningful to search best charging system(especially the burden matrix).This paper deals with the problem of burden distribution control based on the adaptive genetic algorithm and multi-radar data.Firstly,the definition of the ratio of ore to coke(ROC)and the desired ROCD are given.Secondly,according to the desired ROCD,the concrete steps of searching the best burden matrices are presented based on the adaptive genetic algorithm.Then,the operators of the adaptive genetic algorithm(especially the mutation operator)are properly adjusted,according to the actual production process of the bell-less BF.Finally,three computational experiments demonstrate the effectiveness of the method.

关键词： Bell-less blast furnace Adaptive genetic algorithm Ratio of ore to coke distribution Multi-loop burden matrices

作者: Qiao Zhu Yi-Xin Yin Han-Qing Cheng Xian-Zhong Chen

作者单位: School of Automation & Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China;Key Laboratory of Advanced Control of Iron and Steel Process(Ministry of Education),University of Science and Technology Beijing,Beijing 100083,China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 8645-8649

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）