• DocumentCode
    2025609
  • Title

    Jigging process human-like intelligent control

  • Author

    Ma, Fangqing ; Liu, Xiaowen ; Tan, Dejian

  • Author_Institution
    Coll. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    687
  • Abstract
    Based upon the principle of jigging process, the human-like intelligent control system is built with aim to gain high jig efficiency. The intelligent control system is built in two layers. In the top layer, based on the online evaluating preparing efficiency, the quality and the preparation of raw coal, the intelligent control system can coordinate each sub-control system of the low layer and realize optimal control. In the low layer, a multi-loop fuzzy controllers are built to control the jigging process which is a multi-variable system. The multi-loop fuzzy controllers can satisfactorily control feeder, rejects discharge, middle discharge, downscreen water, and wind system. The application in a coal preparing plant shows that the intelligent control system described in this paper is feasible. The good economic benefit has been gained.
  • Keywords
    coal; fuzzy control; intelligent control; multivariable control systems; optimal control; process control; expert control; fuzzy control; fuzzy controllers; intelligent control; jig control; jigging process; multi-variable system; multivariable fuzzy control; optimal control; Automation; Control systems; Educational institutions; Electronic mail; Fuzzy control; Fuzzy systems; Intelligent control; Optimal control; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
  • Print_ISBN
    0-7803-7268-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2002.1022201
  • Filename
    1022201