Repetitive control of nonlinear systems via feedback linearization: An application to robotics
Conference Paper
Publication Date:
2020
Short description:
Repetitive control of nonlinear systems via feedback linearization: An application to robotics / Biagiotti, L.. - 53:2(2020), pp. 1468-1473. ( 21st IFAC World Congress 2020 deu 2020) [10.1016/j.ifacol.2020.12.1935].
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.
Iris type:
Relazione in Atti di Convegno
Keywords:
Iterative learning control; Motion control systems; Path following; Robotics; Trajectory tracking
List of contributors:
Biagiotti, L.
Book title:
IFAC-PapersOnLine
Published in: