基于SVMR的煤泥浮选智能优化控制系统研究  

Study on intelligent optimization and control system for floatation of coal slurry based on SVMR

作　　者：赵新华 王光辉[2] 匡亚莉[2] 祝学斌[1,2] 梁华[1,2] 

机构地区：[1]河南神火煤业集团有限公司薛湖选煤厂,河南商丘476643 [2]中国矿业大学化工学院

出　　处：《矿山机械》2012年第8期78-81,共4页Mining & Processing Equipment

基　　金：国家自然科学基金(51174202);教育部博士点基金(20100095110013)

摘　　要：用支持向量机回归(SVMR)算法,建立了基于SVMR的浮选过程药剂添加量的预测模型,仿真结果表明,该药剂添加模型有较高的预测精度。针对工业浮选系统的复杂性,提出了优化的模糊自适应控制策略,保证了浮选过程控制系统运行的稳定性。建立了浮选过程智能控制系统的软件和硬件平台,在生产工况频繁变化的情况下,实现了浮选过程的自动控制。Support vector machine regression （SVMR） algorithm was used to construct a prediction model for flotation reagent addition based on SVMR. The simulation results showed that the model was of high accuracy. In view of the complexity of industrial flotation system, the paper provided an optimized fuzzy self-adaptive control scheme so as to guarantee the stable operation of the control system during flotation process. Software and hardware platform of the intelligent control system for flotation process were developed, by which auto- matic control of the flotation process under frequently changing production conditions was achieved.

关 键 词：SVMR 煤泥 浮选过程 智能优化控制 

分 类 号：TD94[矿业工程—选矿]