• DocumentCode
    2733134
  • Title

    The Research of Multi-variables Hierarchical Fuzzy Decouple Control Strategy Based on Human Knowledge

  • Author

    Meng, Jun ; Yang, Can

  • Author_Institution
    Coll. of Electr. Eng., Zhejiang Univ., Hangzhou
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    3867
  • Lastpage
    3871
  • Abstract
    The application of hierarchical fuzzy controllers to multi-variables system solves the "dimension disaster" problem of multi-variables, which is presented in the paper. The rule base of each fuzzy controller is generated from decoupling multi-variables and based on the human knowledge, not designed after exact mathematic modeling of the plant, so that the application of this method could be extensive and comprehensive. Considering cart and pole system as the plant, the characteristic of the strategy mentioned above can get from the simulation result (especially the result compared it to the linear controller shows its advantage). The successful application to other multi-variables system also shows its power
  • Keywords
    fuzzy control; hierarchical systems; multivariable control systems; poles and zeros; cart system; multivariables hierarchical fuzzy decouple control; pole system; Control systems; Educational institutions; Electronic mail; Fuzzy control; Fuzzy systems; Humans; Intelligent control; Mathematical model; Mathematics; Power system modeling; decouple control; hierarchical fuzzy control structure; modeling based on human knowledge; multi-variables system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713096
  • Filename
    1713096