东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2011, Vol. 32 ›› Issue (2): 157-161.DOI: -

• 论著 • 上一篇    下一篇

旋流器分级过程的智能控制

赵大勇;柴天佑;付俊;岳恒;   

  1. 东北大学流程工业综合自动化教育部重点实验室;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家重点基础研究发展计划项目(2009CB320604);;

Intelligent control of hydrocyclone separation process

Zhao, Da-Yong (1); Chai, Tian-You (1); Fu, Jun (1); Yue, Heng (1)   

  1. (1) Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Zhao, D.-Y.
  • About author:-
  • Supported by:
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摘要： 旋流器分级过程是二输入三输出系统,难以采用精确的数学模型描述,且存在强耦合、强非线性、边界条件变化频繁等特性.针对上述情况,提出了旋流器分级过程智能控制方法.该方法将建模与控制相集成,将PI控制、模糊控制与规则推理相结合,实现了基于模糊控制算法的泵池液位与旋流器给矿压力串级均匀控制,基于规则推理的异常液位控制,渣浆泵转速控制切换机制,以及旋流器给矿浓度的PI控制.在国内某大型选矿厂的应用表明,该方法能够有效地稳定旋流器分级过程,提高了分级粒度指标.

关键词: 旋流器分级过程, 智能控制, 规则推理, 均匀控制

Abstract: The hydrocyclone separation process (HSP), as a two-input/three-output system with such complex characteristics as strong coupling, high nonlinearity and frequent variation of boundary conditions, is difficult to be expressed by an accurate mathematical model. An intelligent control method is therefore proposed for HSP by integrating the modeling with control process so as to combine the PI control, fuzzy control with RBR (rule-based reasoning). Then, the CAC(cascade averaging controller) based on the fuzzy control algorithm for the liquid level in pumping sump and ore feeding pressure of hydrocyclone, the control of abnormal liquid level based on RBR, the switching controller for slurry pump speed and the PI control for the ore feeding concentration by hydrocyclone are all available to implement. The application results in a large-scale domestic beneficiation plant revealed that the method proposed can stabilize the HSP effectively with particle sizing index evidently improved.

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