Protective control for robot manipulator by sliding mode based disturbance reconstruction approach

Abstract

This paper presents a protective control framework for robot manipulators using sliding mode based state estimation and disturbance reconstruction. Specifically, the nonlinear dynamic state-space model of the robot is transformed into a descriptor form, allowing the design of a sliding mode observer and a sliding mode based trajectory tracking control. Different reaction strategies to protect the robot manipulator are presented according to the strength of the disturbance and whether the environment is completely perceptible. Finally, to show the effectiveness of this novel combination of sliding mode observer and protective controller, an experiment on a two degree-of-freedom manipulator is conducted.