Title :
An improved adaptive control algorithm for partially known rigid robots
Author_Institution :
Dept. of Syst. & Control, New South Wales Univ., Kensington, NSW, Australia
Abstract :
An improved global convergent computed torque algorithm is presented for adaptive control of rigid robots. The algorithm eliminates the restrictive assumption on the boundedness of the inverse of the estimated inertia matrix and the subsequent need to modify the parameter update law, which is required in similar computed torque adaptive control algorithms. The algorithm is further modified to achieve robustness to bounded disturbances
Keywords :
adaptive control; robots; adaptive control algorithm; bounded disturbances; global convergent computed torque algorithm; inertia matrix inverse; parameter update law; rigid robots; Adaptive control; Ambient intelligence; Australia; Control systems; Convergence; Equations; Manipulator dynamics; Programmable control; Robot control; Torque control;
Conference_Titel :
TENCON '92. ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.' 1992 IEEE Region 10 International Conference.
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-0849-2
DOI :
10.1109/TENCON.1992.272032