DocumentCode :
2371345
Title :
Fuzzy based adaptive dynamic surface control for a class of nonlinear systems with unknown dead zone
Author :
Aung, Oakka ; Lin, Yan ; Zhao, Qichao
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear :
2010
fDate :
4-7 Aug. 2010
Firstpage :
687
Lastpage :
692
Abstract :
This paper provides an adaptive dynamic surface control for a class of nonlinear systems with unknown dead zone using fuzzy logic system. The dead zone precompensator is constructed to deal with non-symmetrical dead zone parameters and to compensate the effect of the dead zone. The dynamic surface control (DSC) method overcomes the problem of “explosion of complexity” in the traditional backstepping design. Fuzzy logic system (FLS) is used to approximate the nonlinear uncertainty. Adaptation law adjusts these fuzzy parameters online to minimize the approximation error. This new scheme not only eliminates the problem of explosion of complexity in backstepping scheme, but also guarantees the semi-global uniform boundedness of the solution of the closed-loop system, and makes the tracking error converge to a small residual set. Simulation results illustrate that the new scheme is effective.
Keywords :
adaptive control; closed loop systems; fuzzy control; fuzzy logic; fuzzy systems; nonlinear control systems; DSC method; FLS; approximation error; backstepping design; backstepping scheme; closed-loop system; dead zone precompensator; dynamic surface control method; explosion of complexity; fuzzy based adaptive dynamic surface control; fuzzy logic system; fuzzy parameters; nonlinear systems; nonlinear uncertainty; nonsymmetrical dead zone parameters; semiglobal uniform boundedness; tracking error; unknown dead zone; Adaptive control; Approximation methods; Backstepping; Fuzzy logic; Nonlinear systems; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2010 International Conference on
Conference_Location :
Xi´an
ISSN :
2152-7431
Print_ISBN :
978-1-4244-5140-1
Electronic_ISBN :
2152-7431
Type :
conf
DOI :
10.1109/ICMA.2010.5589103
Filename :
5589103
Link To Document :
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