• DocumentCode
    1653232
  • Title

    A fuzzy logic controller with switching knowledge base for industrial process control

  • Author

    Ladera, L.E. ; Reyes, Carlos ; Margaglio, Elizabeth ; Soteldo, Liliana

  • Author_Institution
    Dept. de Electronica y Circuitos, Simon Bolivar Univ., Caracas, Venezuela
  • fYear
    1995
  • Firstpage
    333
  • Lastpage
    337
  • Abstract
    In this work fuzzy control was used to control the temperature of an aqueous solution of caustic soda. The main objective was to develop and implement a controller based on fuzzy logic theory as an alternative for process control in the brewing industry. The efficiency of this novel control strategy was then established given the actual results obtained. These results demonstrated the utility and efficiency of fuzzy control to control an industrial process with long range and fast changing characteristic variables. The fuzzy logic controller thus designed and used, showed a great adaptability through a change in the knowledge base
  • Keywords
    brewing industry; fuzzy control; knowledge based systems; process control; temperature control; aqueous solution; brewing industry; characteristic variables; control strategy; fuzzy logic controller; industrial process control; switching knowledge base; temperature control; Cement industry; Circuits; Cleaning; Fungi; Fuzzy control; Fuzzy logic; Industrial control; Process control; Temperature control; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Devices, Circuits and Systems, 1995., Proceedings of the 1995 First IEEE International Caracas Conference on
  • Conference_Location
    Caracas
  • Print_ISBN
    0-7803-2672-5
  • Type

    conf

  • DOI
    10.1109/ICCDCS.1995.499171
  • Filename
    499171