Volume 44 Issue 6
Turn off MathJax
Article Contents
Abstract
Related Articles
KONG Fanmiao, XU Kang, CHEN Zherui, CUI Qidong. Density control method for dense-medium suspension based on fuzzy control[J]. Journal of Mine Automation, 2018, 44(6): 101-104. DOI: 10.13272/j.issn.1671-251x.2018010087
Citation: KONG Fanmiao, XU Kang, CHEN Zherui, CUI Qidong. Density control method for dense-medium suspension based on fuzzy control[J]. Journal of Mine Automation, 2018, 44(6): 101-104. DOI: 10.13272/j.issn.1671-251x.2018010087
shu

Density control method for dense-medium suspension based on fuzzy control

  • 1.

    School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, China

  • 2.

    Guobei Coal Preparation Plant, Huaibei Mining Co., Ltd., Bozhou 233600, China

More Information
    Graphical Abstract
    • Abstract
  • In view of problems of poor accuracy and universality of existing density fuzzy control methods for dense-medium suspension, a density control method for dense-medium suspension based on fuzzy control was proposed. The method takes suspension density deviation, variation rate of the suspension density deviation and liquid level of qualified medium bucket as input variables of density fuzzy controller, and takes liquid level deviation of qualified medium bucket and variation rate of the liquid level deviation of qualified medium bucket as input variables of liquid level fuzzy controller. Water supply valve and flow-spitting box are effectively controlled by use of the density fuzzy controller and liquid level fuzzy controller, so as to achieve accurate and stable control of dense-medium suspension density. The application results show that suspension density fluctuation range can be controlled at ±0.007 g/cm3 with fast response speed.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]ZHANG Lingzhi, DAI Wei, MA Xiaoping. Advanced control of dense medium coal separation process: research progresses and prospects[J]. Journal of Mine Automation, 2020, 46(8): 21-27. DOI: 10.13272/j.issn.1671-251x.2020020001
    [2]QIU Jiakai, WANG Ranfeng, FU Xiang. Design of intelligent control system for dense medium suspension density with wide domai[J]. Journal of Mine Automation, 2019, 45(7): 33-37. DOI: 10.13272/j.issn.1671-251x.17429
    [3]GUO Xijin, SHAO Hongqing, YANG Chunbao, ZHANG Zhiqiang. Research on PFC-PID control algorithm of density and liquid level in heavy medium suspensio[J]. Journal of Mine Automation, 2018, 44(1): 89-95. DOI: 10.13272/j.issn.1671-251x.2017030088
    [4]CHEN Peng, PAN Dong, SHI Kaiyi, JI Yonghua. Evaluation of coal preparation plant separation effect based on multi-level fuzzy comprehensive evaluatio[J]. Journal of Mine Automation, 2017, 43(1): 56-60. DOI: 10.13272/j.issn.1671-251x.2017.01.014
    [5]GUO Xi-jin, GAO Jing-wei, YUE Guang-li, REN Liang-cai. Research of Fuzzy Control Method for Multi-parameter in Dense-medium Separation Process[J]. Journal of Mine Automation, 2012, 38(9): 1-4.
    [6]SUN Yun-xiao, MA Xiao-ping, WANG Wei-bo. Design of Medium Density Control System in Dense-medium Separation Based on Fuzzy Control[J]. Journal of Mine Automation, 2012, 38(6): 21-24.
    [7]LIU Shi-xian, ZHU Hua, WANG Yong, ZHU Feng-pei. Design of Control System of Emulsion Liquid Level Based on Fuzzy-PID Control[J]. Journal of Mine Automation, 2009, 35(4): 17-19.
    [8]SI Shu-wei. A Self-adapting Nerve Cell Controller Based on Auto-regulating System of Density of Heavy Medium[J]. Journal of Mine Automation, 2003, 29(3): 5-7.
    [9]LI Zu-xin , ZHANG Yu-feng , SHI Xin-ling . A New P-FUZZY-PID Controller with Switching Based on Fuzzy Rules[J]. Journal of Mine Automation, 2003, 29(1): 4-6.
    [10]ZHAO Chun-xiang. Development of Computer Control and Monitoring System for Dense Medium Suspension Parameters[J]. Journal of Mine Automation, 2000, 26(4): 28-29.

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (81) PDF downloads (12) Cited by()
    Related

    苏ICP备 05016349号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd. Visits：1151417    Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return