化工学报 ›› 2013, Vol. 64 ›› Issue (12): 4557-4562.DOI: 10.3969/j.issn.0438-1157.2013.12.043

• 过程系统工程 • 上一篇    下一篇

基于参数自整定模糊控制器的沉铁过程pH值稳定控制

李勇刚, 杨根, 阳春华   

  1. 中南大学信息科学与工程学院, 湖南 长沙 410083
  • 收稿日期:2013-08-16 修回日期:2013-08-26 出版日期:2013-12-05 发布日期:2013-12-05
  • 通讯作者: 李勇刚
  • 作者简介:李勇刚(1974- ),男,博士,副教授。
  • 基金资助:

    国家自然科学基金项目(61174133);国家支撑计划项目(2012BAF03B05);新世纪优秀人才支持计划项目(NCET-12-0546)。

pH control in iron precipitation process based on parameter self-tuning fuzzy controller

LI Yonggang, YANG Gen, YANG Chunhua   

  1. School of Information Science & Engineering, Central South University, Changsha 410083, Hunan, China
  • Received:2013-08-16 Revised:2013-08-26 Online:2013-12-05 Published:2013-12-05
  • Supported by:

    supported by the National Natural Science Foundation of China (61174133),the National Key Technology R&D Program of China (2012BAF03B05) and the New Century Excellent Talents in University (NCET-12-0546).

摘要: 针对沉铁过程存在的非线性、强耦合导致溶液pH值难以稳定控制的问题,分析了沉铁过程的工艺及其反应动力学机理。研究了锌焙砂添加量与pH值之间的关系,并根据工艺对pH值的要求,计算沉铁过程所需添加的焙砂量。在此基础上,采用参数自整定模糊控制器对锌焙砂添加量进行补偿调节,从而实现pH值的稳定控制。仿真结果表明:所提出的参数自整定模糊控制器效果良好,为沉铁过程pH值的稳定控制提供了一种切实可行的方法。

关键词: 参数自整定, 模糊控制器, 沉铁过程, pH值

Abstract: Iron precipitation is the key process for iron removal in zinc hydrometallurgy.In iron precipitation process,it is very important to stabilize the pH value of the solution.However,the pH value fluctuates strongly in practice because of the nonlinearity and coupling in iron precipitation process. At first,the reaction kinetics mechanism of iron precipitation is analyzed.Then,the relationship between the pH value of the solution and the amount of zinc calcine (AZC) added into the solution is researched and the AZC added into the solution is calculated according to the technical requirement of pH value. At last,the parameter self-tuning fuzzy controller is proposed to adjust AZC added into the solution. Simulation results show that the parameter self-tuning fuzzy controller is very effective and it is a feasible method to stabilize pH value in iron precipitation process.

Key words: parameter self-tuning, fuzzy controller, iron precipitation process, pH value

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