Adaptive control of robot manipulators driven by brushless DC motors with uncertainties in dynamic model

Abstract

In this study, an adaptive controller design is carried out for robot manipulators whose joints are driven using brushless direct current (BLDC) motors and which have parametric uncertainties in the dynamic model, by considering the actuator dynamics. Thanks to the realization of controller design directly in the task space, the proposed controller structure does not need inverse kinematics calculations at the position level. Despite the parametric uncertainties in the robot dynamic model, the global asymptotic stability of the developed controller structure with full state feedback, which does not need acceleration measurements, is guaranteed by using Lyapunov type synthesis and stability analysis method. To demonstrate the performance and feasibility of the proposed method, a simulation study was carried out using a two degree of freedom, planar robot manipulator model, whose joints are driven using BLDC motors.