DocumentCode :
3190654
Title :
H tracking adaptive fuzzy integral sliding mode control for parallel manipulators
Author :
Weng, Chien-Chih ; Yu, Wen-Shyong
Author_Institution :
Dept. of Electr. Eng., Tatung Univ., Taipei, Taiwan
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
4197
Lastpage :
4204
Abstract :
In this paper, an adaptive fuzzy integral sliding mode control scheme with H tracking performance is proposed for parallel manipulators to attenuate the effects caused by nonlinear unmodeled dynamics, external disturbances, and approximation errors. First, the parallel manipulator is formulated as an error dynamics according to a specified reference model. Then, an adaptive fuzzy integral sliding mode control scheme is developed to attenuate the effects caused by unmodeled dynamics, disturbances, approximation errors, and restrain the external disturbances. The integral sliding mode control is used not only to provide one more degree of freedom to eliminate the steady-state error but to make the state error approach the equilibrium point in a finite time period quickly. Based on Lyapunov stability theorem, the proposed control scheme can guarantee the stability of the closed-loop system and achieve the H tracking performance. Finally, we will use a 2-dof parallel robot system to verify the effectiveness of the proposed control scheme.
Keywords :
H control; Lyapunov methods; adaptive control; closed loop systems; fuzzy control; manipulators; stability; variable structure systems; 2-DOF parallel robot system; H∞ tracking control; Lyapunov stability; adaptive control; approximation error; closed-loop system; external disturbance; fuzzy integral sliding mode control; nonlinear unmodeled dynamic; parallel manipulator; Robustness; 2-dof parallel robot system; H tracking performance; Integral sliding mode; Lyapunov stability theorem; adaptive fuzzy control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5642504
Filename :
5642504
Link To Document :
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