• DocumentCode
    1601779
  • Title

    Deriving analytical structure of a type-2 fuzzy PD/PI controller

  • Author

    Du, Xinyu ; Ying, Hao

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the past several years, research results on type- 2 fuzzy control have started to emerge in the literature. None of them, however, are concerned with mathematical input-output relationship of a type-2 fuzzy controller. Establishing such relationship is important as it will deepen our understanding of type- 2 fuzzy controller structures, how they function, and their advantages and drawbacks as compared to type-1 fuzzy controllers and conventional controllers (e.g., the PID controller). The availability of such structure will also lay a foundation for more rigorous theoretical analysis and design of type-2 fuzzy control systems. In this paper, we derive the mathematical input-output relation of a type-2 fuzzy PD (or PI) controller that has one of the simplest possible configurations - only two interval type-2 fuzzy sets for each input variables, four fuzzy rules with Zadeh AND operator, and four interval type-2 output fuzzy sets. We relate the resulting structure to conventional control theory and show that it actually is a PD (or PI) controller with the proportional and derivative (or integral) gains changing as the input variable values vary.
  • Keywords
    PD control; PI control; control system analysis; control system synthesis; fuzzy control; fuzzy set theory; control analysis; control design; fuzzy rules; type-2 fuzzy PD/PI controller; Availability; Control theory; Fuzzy control; Fuzzy sets; Input variables; PD control; Pi control; Proportional control; Three-term control; Two-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4244-2351-4
  • Electronic_ISBN
    978-1-4244-2352-1
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2008.4531204
  • Filename
    4531204