• DocumentCode
    1633784
  • Title

    Gain-scheduled Takagi-Sugeno fuzzy PI control methodology for LPV systems

  • Author

    Silva, Joabe ; Serra, Ginalber

  • Author_Institution
    Fed. Inst. of Educ., Sci. & Technol., So Lus-MA, Brazil
  • fYear
    2009
  • Firstpage
    222
  • Lastpage
    227
  • Abstract
    This work proposes a theoretical approach of gain-scheduled fuzzy PI control design based on gain and phase margins specifications for LPV (linear and parameters varying) systems, in the continuous time domain. A mathematical formulation from the Takagi-Sugeno fuzzy model structure as well as the PDC (parallel distributed compensation) strategy is developed. Analytical formulas are deduced for the PI subcontrollers parameters, in the robust fuzzy controller rules base, according to the fuzzy model parameters of the LPV plant to be controlled. Results of the necessary and sufficient conditions for the fuzzy controller design, from the proposed robust methodology, with one Axiom and two Theorems are also presented.
  • Keywords
    PI control; compensation; continuous time systems; control system synthesis; fuzzy control; linear systems; robust control; continuous time domain; gain margins specifications; gain-scheduled Takagi-Sugeno fuzzy PI control design; linear and parameters varying systems; parallel distributed compensation strategy; phase margins specifications; robust fuzzy controller; Control engineering education; Educational technology; Fuzzy control; Fuzzy systems; Mathematical model; Pi control; Process control; Robust control; Takagi-Sugeno model; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Robotics and Automation (CIRA), 2009 IEEE International Symposium on
  • Conference_Location
    Daejeon
  • Print_ISBN
    978-1-4244-4808-1
  • Electronic_ISBN
    978-1-4244-4809-8
  • Type

    conf

  • DOI
    10.1109/CIRA.2009.5423202
  • Filename
    5423202