DocumentCode :
105637
Title :
Fuzzy sliding mode control scheme for a class of non-linear uncertain chaotic systems
Author :
Niknam, Taher ; Khooban, Mohammad Hassan
Author_Institution :
Electron. & Electr. Dept., Shiraz Univ. of Technol., Shiraz, Iran
Volume :
7
Issue :
5
fYear :
2013
fDate :
Sep-13
Firstpage :
249
Lastpage :
255
Abstract :
This study deals with the problem of controlling class of uncertain non-linear systems in the presence of external disturbances. To achieve this goal, a robust fuzzy sliding mode (RFSM) controller is introduced. First known dynamics of the system are eliminated through feedback linearisation and then fuzzy sliding mode controller is designed using Takagi-Sugeno (TS) method, based on the Lyapunov method which is capable of handling uncertainties. There is no sign of the undesired chattering phenomenon in the proposed method. The globally asymptotic stability of the closed-loop system is mathematically proved. In order to evaluate the performance of the proposed controller, the results are compared with those obtained by optimal H adaptive proportional integral derivative controller and an optimal Type-2 fuzzy proportional integral derivative, which are the latest researches in the problem in hand. Simulation results show the effectiveness of the RFSM controller.
Keywords :
Lyapunov methods; asymptotic stability; closed loop systems; control system synthesis; feedback; fuzzy control; linearisation techniques; nonlinear control systems; uncertain systems; variable structure systems; Lyapunov method; RFSM controller; TS method; closed loop system; feedback linearisation; fuzzy sliding mode controller design scheme; global asymptotic stability; nonlinear uncertain chaotic system; uncertainty handling;
fLanguage :
English
Journal_Title :
Science, Measurement & Technology, IET
Publisher :
iet
ISSN :
1751-8822
Type :
jour
DOI :
10.1049/iet-smt.2013.0039
Filename :
6588040
Link To Document :
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