DocumentCode :
177211
Title :
Observer-based direct adaptive fuzzy control for SISO nonlinear systems with unknown control direction
Author :
Wuxi Shi ; Hongquan Wang ; Furong Li ; Xiangyu Wei
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Polytech. Univ., Tianjin, China
fYear :
2014
fDate :
May 31 2014-June 2 2014
Firstpage :
5145
Lastpage :
5150
Abstract :
This paper presents observer-based direct adaptive fuzzy control for a class of uncertain single-input single-output(SISO) nonlinear systems with unknown control direction. With this scheme, the adaptive fuzzy controller is designed in the presence of only system output is available for measurement, and a robust controller is used to compensate for the lumped errors. A state observer is designed to estimate the unmeasured state, the parameter adaptive laws are designed by the fuzzy basis functions rather than its filtering. Moreover, it does not require a priori knowledge of the control direction. The proposed design scheme guarantees that all the signals in the resulting closed-loop systems are bounded and the tracking errors converge asymptotically to zero. A simulation example is used to demonstrate the effectiveness of the proposed scheme.
Keywords :
adaptive control; compensation; control system synthesis; fuzzy control; nonlinear control systems; observers; uncertain systems; SISO nonlinear systems; adaptive fuzzy controller design; closed-loop systems; direct adaptive fuzzy control; fuzzy basis functions; lumped error compensation; parameter adaptive law design; robust controller; state estimation; state observer design; tracking errors convergence; uncertain single-input single-output nonlinear systems; unknown control direction; Adaptive systems; Fuzzy control; Nonlinear systems; Observers; Robustness; Vectors; Fuzzy adaptive control; Nussbaum gain; SISO nonlinear system; State observer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
Type :
conf
DOI :
10.1109/CCDC.2014.6853098
Filename :
6853098
Link To Document :
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