• DocumentCode
    1956341
  • Title

    Structure analysis of Mamdani fuzzy PID controllers with nonlinear input fuzzy sets

  • Author

    Haj-Ali, Amin ; Ying, Hao

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    19
  • Lastpage
    21
  • Abstract
    PID control is of particular importance because it presently controls the vast majority of industrial processes worldwide. In our previous papers and those by other researchers, explicit connections between PID control and various Mamdani fuzzy controllers, all of which use piecewise linear input fuzzy sets, have been established. In the present paper, we extend the study to cover fuzzy controllers that employ nonlinear fuzzy sets. The fuzzy controllers in this study consist of two fuzzy sets for each input variable, product or Zadeh AND operators, and the centroid defuzzifier. We have developed a new approach that establishes necessary and sufficient conditions on the input fuzzy sets in order for the fuzzy controllers to be nonlinear PI, PD, or PID controllers with variable gains. The treatment is general and covers two different and general types of nonlinear fuzzy sets.
  • Keywords
    controllers; fuzzy control; fuzzy set theory; three-term control; Mamdani fuzzy PID controllers; Zadeh AND operators; centroid defuzzifier; input variable; nonlinear input fuzzy sets; product; structure analysis; variable gains; Fuzzy control; Fuzzy sets; Gain; Industrial control; Input variables; PD control; Piecewise linear techniques; Sufficient conditions; Three-term control; Two-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American
  • Print_ISBN
    0-7803-7461-4
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2002.1018023
  • Filename
    1018023