Logarithmic based robust approach to parametric uncertainty for control of robot manipulators

Abstract

In this paper, a new robust control law for controlling robot manipulators with parameter uncertainty is presented. A controller is designed based on the Lyapunov function and the control law that guarantees the system stability is derived as a result of analytical solution. Apart from previous studies, uncertainty bound and adaptation gain matrix are determined using the estimation law to control the system properly, and so this estimation law is developed as a logarithmic function depending on robot kinematics inertia parameters and tracking error. An application of the proposed control input to a two-link robot manipulator is presented and numerical simulations are included. Copyright (c) 2005 John Wiley & Sons, Ltd.