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
Link To Document :
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