• DocumentCode
    523772
  • Title

    Fuzzy Control of Partial Fan in Heading Laneway

  • Author

    Wang, Shufang ; Zhao, Linhui ; Lei, Baozhen ; Yang, Zhiyong

  • Author_Institution
    Sch. of Mech. Electron., Beijing Union Univ., Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    366
  • Lastpage
    370
  • Abstract
    Air flow character and gas mathematical mode of heading laneway in coalmine is researched in detail to tackle with normal ventilation and gas discharging problem. Combining with ventilation requirements and safety regulation in coalmine, control strategy which aims at both safety and energy saving is established at length. Moreover, conventional double fuzzy control model is found to carry out two work mode, normal ventilation and gas discharging. Since four input signals affect output in different degree, three layers BP neural network is employed to compute weight. Direct torque control style is applied to perform speed adjusting of partial fan. In order to testify the control strategy, an experiment platform including DSP and IPM is founded. The experiment results show that the control strategy is effective to fulfill the function of ventilation and gas discharge in heading laneway.
  • Keywords
    backpropagation; coal; discharges (electric); fans; fuzzy control; mining; neural nets; safety; torque control; ventilation; BP neural network; DSP; IPM; air flow character; coalmine; direct torque control; energy saving; fuzzy control; gas discharging problem; gas mathematical mode; heading laneway; partial fan; ventilation problem; Air safety; Automation; Computer networks; Fuzzy control; Neural networks; Rockets; Space technology; Testing; Torque control; Ventilation; fuzzy control model; gas discharging; heading laneway;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.407
  • Filename
    5523063