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Repetitive Control of Nonlinear Systems via Feedback Linearization: an Application to Robotics

Luigi Biagiotti

Year
2020
Citations
2

Abstract

In this paper, a novel Repetitive Control (RC) scheme for a class of nonlinear systems is presented and discussed. This work generalizes the approach proposed in Biagiotti et al. (2015) where a RC scheme based on the modification of a B-spline reference trajectory has been presented. Also in this case, the generation of the B-splines based on dynamic filters plays a crucial role in the control scheme since it allows to implement a feedforward action that, coupled with an exact feedback linearization and a stabilizing state feedback, makes the RC robustly asymptotically stable. In this manner, the tracking error at the via-points defining the reference trajectory is nullified even if parametric uncertainties on the system model or exogenous (cyclic) disturbances are present. The application to a two-dof robot manipulator shows the effectiveness of the proposed method and its inherent robustness.

Keywords

Control theory (sociology)Feedback linearizationFeed forwardRobustness (evolution)Nonlinear systemLinearizationRoboticsTrajectoryParametric statisticsComputer science

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