• DocumentCode
    226947
  • Title

    Uncertain nonlinear time delay systems fast and large disturbance rejection based on adaptive interval type-2 fuzzy PI control

  • Author

    Tsung-Chih Lin ; Chien-Liang Chen

  • Author_Institution
    Dept. of Electron. Eng., Feng-Chia Univ., Taichung, Taiwan
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    647
  • Lastpage
    653
  • Abstract
    In this paper, adaptive interval type-2 fuzzy proportional integral (PI) control scheme to attenuate fast and large disturbance for a class of uncertain nonlinear time delay systems is proposed. By incorporating adaptive interval type-2 time delay fuzzy logic controller (AT2DFLC) with PI controller, not only the typical switching law chattering can be significantly attenuated but also the instability resulting from system time delay can be overcome. Based on the Lyapunov theory of stability, the free parameters of the AT2DFLC and PI controller coefficients can be tuned on-line by output feedback adaptive laws derived from Lyapunov function with time delays. Simulation results show that the chattering phenomena can be attenuated and the prescribed tracking performance can be preserved simultaneously by the advocated control scheme.
  • Keywords
    Lyapunov methods; PI control; adaptive control; control system synthesis; delays; feedback; fuzzy control; nonlinear control systems; stability; uncertain systems; AT2DFLC; Lyapunov function; Lyapunov stability theory; adaptive interval type-2 fuzzy PI control; adaptive interval type-2 time delay fuzzy logic controller; chattering phenomenon; disturbance rejection; output feedback adaptive laws; proportional-integral control; tracking performance; typical switching law chattering; uncertain nonlinear time delay systems; Adaptive systems; Control systems; Delay effects; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Uncertainty; Lyapunov theory; PI control; Time delay system; interval type-2 FLS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891789
  • Filename
    6891789