磨矿过程基础回路优化控制方法

张燕, 张佳, 代亚菲

张燕,张佳,代亚菲.磨矿过程基础回路优化控制方法[J].工矿自动化,2016,42(5):76-80.. DOI: 10.13272/j.issn.1671-251x.2016.05.017
引用本文: 张燕,张佳,代亚菲.磨矿过程基础回路优化控制方法[J].工矿自动化,2016,42(5):76-80.. DOI: 10.13272/j.issn.1671-251x.2016.05.017
ZHANG Yan, ZHANG Jia, DAI Yafei. Optimal control method of grinding process basic circuit[J]. Journal of Mine Automation, 2016, 42(5): 76-80. DOI: 10.13272/j.issn.1671-251x.2016.05.017
Citation: ZHANG Yan, ZHANG Jia, DAI Yafei. Optimal control method of grinding process basic circuit[J]. Journal of Mine Automation, 2016, 42(5): 76-80. DOI: 10.13272/j.issn.1671-251x.2016.05.017

磨矿过程基础回路优化控制方法

基金项目: 

国家自然科学基金资助项目(61203323)

河北省自然科学基金资助项目(F2011202094)

河北省高等学校科学研究项目(Q2012079)

详细信息
  • 中图分类号: TD921.4/928.9

Optimal control method of grinding process basic circuit

  • 摘要: 以磨矿过程基础回路重要工艺参数——旋流器给矿浓度控制为研究对象,针对无模型自适应控制(MFAC)的参数自适应性差的问题,引入模糊控制,提出了模糊MFAC方法,给出了该方法的理论推导步骤,设计了模糊MFAC控制器。将模糊MFAC方法、基本MFAC方法和PID方法进行对比仿真实验,结果表明,模糊MFAC方法能够快速跟踪期望值,具有更小的超调量和跟踪误差,且抗干扰能力强。
    Abstract: The paper took control of an important technological parameter namely hydrocyclone feeding concertration of grinding process basic circuit as study object, introduced fuzzy control according to bad parameter adaptivity of model-free adaptive control (MFAC), and proposed a fuzzy MFAC method. It gave theoretical derivation process of the method and designed a fuzzy MFAC controller. Compared with basic MFAC method and PID method, the simulation experimental results show that the fuzzy MFAC method can quickly track expected value with smaller overshoot and tracking error and has strong anti-interference performance.
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出版历程
  • 刊出日期:  2016-05-09

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