Adaptive control of constrained robots modeled by singular systems

Abstract

An adaptive controller is presented for constrained robots with uncertain dynamic model parameters. The controller design has been made following a proposed theoretical framework. It is shown that global tracking is verified in the sense that zero steady-state motion error and bounded force error are obtained. Some robustness results are presented, and a simulation example is given to illustrate the performance of the adaptive controller.<>