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

被引:2
|
作者
Biagiotti, L. [1 ]
机构
[1] Univ Modena & Reggio Emilia, Dept Engn Enzo Ferrari, Modena, Italy
来源
IFAC PAPERSONLINE | 2020年 / 53卷 / 02期
关键词
Iterative learning control; Robotics; Motion Control Systems; Trajectory Tracking and Path Following;
D O I
10.1016/j.ifacol.2020.12.1935
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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. Copyright (C) 2020 The Authors.
引用
收藏
页码:1468 / 1473
页数:6
相关论文
共 50 条