DocumentCode :
2331763
Title :
Robust desired compensation adaptive control of robot manipulators with guaranteed transient performance
Author :
Yao, Bin ; Tomizuka, Masayoshi
Author_Institution :
Dept. of Mech. Eng., California Univ., Berkeley, CA, USA
fYear :
1994
fDate :
8-13 May 1994
Firstpage :
1830
Abstract :
A robust adaptive controller with guaranteed transient performance under a desired compensation adaptation law is developed for trajectory tracking control of robot manipulators in the presence of parametric uncertainties and external disturbances. With some modifications to the conventional adaptation law, a new control law is redesigned by combining the design methodologies of adaptive control and continuous sliding mode control. The suggested controller preserves the advantages of the true methods, namely, asymptotic stability of adaptive system for parametric uncertainties and globally uniformly ultimately bounded stability with guaranteed transient performance of sliding mode control for both parametric uncertainties and external disturbances. The control law is continuous, and the chattering problem of sliding mode control is avoided. Experimental results illustrate the effectiveness of the proposed methods
Keywords :
adaptive control; compensation; position control; robots; stability; transient response; variable structure systems; asymptotic stability; compensation; continuous sliding mode control; external disturbances; guaranteed transient performance; parametric uncertainties; robot manipulators; robust adaptive control; trajectory tracking control; Adaptive control; Asymptotic stability; Design methodology; Manipulators; Programmable control; Robot control; Robust control; Sliding mode control; Trajectory; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-5330-2
Type :
conf
DOI :
10.1109/ROBOT.1994.351194
Filename :
351194
Link To Document :
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