Uncertainty-attenuating controller for mechanical manipulators with electromechanical dynamics: Part 2

Abstract

Decoupling control of robotic manipulators, based on a dynamic model that includes both the mechanical dynamics of the links and the electrical dynamics of the joint motors, is studied in this paper. By using an algorithm of feedback linearization developed in this paper, the highly non-linear and strongly cross-coupled electromechanical system is decoupled and linearized into a set of decoupled linear subsystems. Then, disturbance decoupling is further conducted for disturbance and uncertainty attenuation. It is shown that, by using the proposed control scheme, both modelling difficulty and control complexity of the manipulator system can be significantly reduced.