基于泡沫尺寸随机分布的铜粗选药剂量控制

朱建勇; 桂卫华; 阳春华; 吴佳; 周文振

doi:10.3724/SP.J.1004.2014.02089

基于泡沫尺寸随机分布的铜粗选药剂量控制

doi: 10.3724/SP.J.1004.2014.02089

1.
中南大学信息科学与工程学院长沙 410083;
2.
华东交通大学电气与电子学院南昌 330029

基金项目:

国家自然科学基金重点项目 (61134006),国家杰出青年科学基金 (61025015), 国家创新研究群体科学基金(61321003),教育部人文社科青年基金项目(13YJCAH089) 资助

详细信息

作者简介:
朱建勇中南大学信息科学与工程学院博士研究生, 主要研究方向为工业过程的随机分布和预测控制.E-mail: jianyong-zhu@csu.edu.cn

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出版历程
- 收稿日期: 2013-06-17
- 修回日期: 2013-11-21
- 刊出日期: 2014-10-20

Reagent Dosage Control Based on Bubble Size Random Distribution for Copper Roughing

1.
School of Information Science and Engineering, Central South University, Changsha 410083;
2.
School of Electrical and Electronic Engineering, East China Jiaotong University, Nanchang 330029

Funds:

Supported by Key Program of National Natural Science Foundation of China (61134006), National Science Fund for Distinguished Young Scholars of China (61025015), Foundation for Innovative Research Groups of National Natural Science Foundation of China (61321003), and Young Foundation of Humanities and Social Sciences of Ministry of Education of China (13YJCZH089)

摘要

摘要: 为了稳定铜粗选选矿指标,提高矿产资源的利用水平, 根据铜粗选过程中泡沫尺寸分布随药剂量改变而动态变化的特点, 提出一种基于泡沫尺寸随机分布的铜粗选过程药剂量控制方法.首先, 针对泡沫尺寸分布具有非高斯统计特性, 基于方差和均值的统计参量难以表征该分布形态变化的问题, 提出了B样条估计方法以描述泡沫尺寸的概率密度函数(Probability density function, PDF); 然后, 针对B 样条权值相互关联的特点, 建立多输出最小二乘支持向量机模型(Multi-output least square support vector machine, MLS-SVM)以表征权值和药剂量的动态关系; 最后, 为减少系统的随机性, 采用基于熵的优化算法以确定药剂量, 实现对给定泡沫尺寸分布的跟踪控制.工业数据仿真验证了所提方法的有效性, 能有效稳定铜粗浮选的生产指标.
- 铜粗选 /
- 泡沫尺寸分布 /
- 药剂量控制 /
- 概率密度函数 /
- 最小二乘支持向量机模型
Abstract: A bubble size distribution (BSD) based reagent dosage control method is proposed to stabilize the indices and improve the utilization of mineral resources in copper roughing flotation. Firstly, in order to characterize the bubble size structure with non-Gaussian feature, a B-spline estimator is investigated to depict the BSD. Since the weights of B-spline are interrelated with each other and related to the reagent dosage, a multi-output least square support vector machine (MLS-SVM) is hence used to establish their dynamical relationship between B-spline weights and reagent dosage. Finally, an entropy based optimization algorithm is constructed to determine the reagent dosage in order to implement the tracking of the given BSD. Simulation and experimental results show the effectiveness of the proposed method, which has been used to stabilize the product indices for copper roughing.
- Copper roughing flotation /
- bubble size distribution /
- reagent dosage control /
- PDF /
- MLS-SVM

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参考文献(29)

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基于泡沫尺寸随机分布的铜粗选药剂量控制

doi: 10.3724/SP.J.1004.2014.02089

作者简介:
朱建勇中南大学信息科学与工程学院博士研究生, 主要研究方向为工业过程的随机分布和预测控制.E-mail: jianyong-zhu@csu.edu.cn

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Reagent Dosage Control Based on Bubble Size Random Distribution for Copper Roughing

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基于泡沫尺寸随机分布的铜粗选药剂量控制

doi: 10.3724/SP.J.1004.2014.02089

作者简介: 朱建勇 中南大学信息科学与工程学院博士研究生, 主要研究方向为工业过程的随机分布和预测控制.E-mail: jianyong-zhu@csu.edu.cn

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出版历程

Reagent Dosage Control Based on Bubble Size Random Distribution for Copper Roughing

计量

出版历程

目录

作者简介:
朱建勇中南大学信息科学与工程学院博士研究生, 主要研究方向为工业过程的随机分布和预测控制.E-mail: jianyong-zhu@csu.edu.cn