Title :
A model-free decentralized control for robot manipulators
Author :
Cai, Lilong ; Tang, Xiaoqi
Author_Institution :
Dept. of Mech. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong
Abstract :
A model-free robust/adaptive decentralized controller for nonlinear uncertain robot manipulators is presented. The proposed controller consists of a PD controller, a robust/adaptive controller and dynamic compensator. The dynamic compensator is online up-dated based on the Taylor expansion in terms of the historical information of the individual local inputs to the system. The result obtained from the dynamic compensator is used to cancel the nonlinearity and uncertainties within the system to be controlled. The robust/adaptive controller is used to handle the effect of the residual dynamics, which is the difference of the dynamics of the system and the estimated one. The stability analysis of the closed-loop system is performed based on a modified version of Lyapunov´s theory. Experimental results on the tracking control of a 3-DOF direct drive robot are presented for illustration
Keywords :
Lyapunov methods; adaptive control; closed loop systems; decentralised control; manipulator dynamics; nonlinear systems; robust control; two-term control; uncertain systems; Lyapunov theory; PD controller; Taylor expansion; adaptive control; closed-loop system; decentralized control; dynamic compensator; model-free control; nonlinear uncertain systems; nonlinearity; robot manipulators; robust control; stability; Adaptive control; Control systems; Distributed control; Manipulator dynamics; Nonlinear dynamical systems; PD control; Programmable control; Robots; Robust control; Taylor series;
Conference_Titel :
Robotics and Automation, 1997. Proceedings., 1997 IEEE International Conference on
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3612-7
DOI :
10.1109/ROBOT.1997.606760
