Energy based indirect adaptive control of robots

Abstract

An indirect adaptive controller for robots is presented. The control law is a computed torque type which can be calculated using the fast recursive Newton-Euler algorithm. The inertial parameters of the robot are updated using an energy prediction error which is a function of the joint positions and velocities. The calculation cost of the complete adaptive control law for the PUMA robot is given. >