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Adaptive friction compensation in trajectory tracking control of DLR medical robots with elastic joints

Luc Le-Tien, Alin Albu‐Schäffer

Year
2012
Citations
9

Abstract

In this paper we introduce an adaptive control scheme for robots with elastic joints (in particular for the DLR medical robot) in order to increase the positioning accuracy and the performance of control with respect to uncertainties of the parameters of the robot dynamics. In order to design control and analyze system stability a static friction model is applied which describes Coulomb, viscose and load dependent friction. A stability analysis is done for this adaptive control scheme, allowing a Lyapunov based convergence analysis in the context of the nonlinear robot dynamics. Experimental results validate the practical efficiency of the approach.

Keywords

Control theory (sociology)RobotTrajectoryAdaptive controlContext (archaeology)Convergence (economics)Compensation (psychology)Lyapunov functionComputer scienceStability (learning theory)

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