基于泡沫尺寸PDF模型的铜粗选过程加药量预测控制  

Predictive control of reagent-addition amount based on PDF model of bubble size in copper roughing flotation process

作　　者：唐朝晖[1] 王伟[1] 刘金平[1] 桂卫华[1] 阳春华[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《中南大学学报（自然科学版）》2015年第3期856-863,共8页Journal of Central South University:Science and Technology

基　　金：国家自然科学基金重点资助项目(61134006);国家自然科学基金面上资助项目(61071176;61272337);国家创新研究群体科学基金资助项目(61321003);高等学校博士学科点专项科研基金(博导类)资助项目(20130162110013)~~

摘　　要：基于泡沫浮选是一个极其复杂的物理化学过程,难以建立有效的机理模型,其加药量自动控制因没有直接评价参考而难以实现,目前仍以人工通过观察泡沫状况进行控制,药剂消耗大且浮选工况不稳定,为了优化浮选药剂添加量,稳定浮选状态,实现加药量优化控制,提出一种基于泡沫尺寸概率密度函数(PDF)的加药量预测控制方法。通过建立泡沫尺寸PDF模型,以浮选泡沫尺寸分布为控制目标,利用广义预测控制算法逼近目标泡沫尺寸PDF以实现加药量控制。研究结果表明:利用广义预测控制算法可以很好地跟踪泡沫尺寸概率密度函数,实现加药量自动控制。Considering that froth flotation is an extremely complex physical and chemical process, it is difficult to establish an effective mechanism model, and the automatic control of the reagent-addition amount is difficult to be achieved in the lack of direct evaluation criterion as the reference, so currently the reagent dosage is still mainly controlled by manually observing the froth status, which leads to large reagent consumption and unstable flotation operation condition. In order to optimize the reagent-addition operation in the flotation process, make the flotation state stable and achieve the optimal reagent-addition control, a reagent dosage predictive control method was proposed based on probability density fimction （PDF） of bubble size. In this method, the PDF model of bubble size was established. Taking the flotation bubble size distribution as the control objective, the generalized predictive control algorithm was used to approach the target bubble size PDF so as to achieve the optimal reagent dosage control. The experimental results show that the generalized predictive control algorithm can well track the probability density function of the bubble size, which can consequently achieve the automatic control of the reagent-addition amount.

关 键 词：浮选药剂 泡沫尺寸PDF模型 权值 加药量控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]