Trajectory Tracking Control of Uncertain Euler-Lagrange Systems: A Robust Control Approach

Xingxiu He, Maobin Lu*, Fang Deng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we consider the trajectory tracking control problem for a class of uncertain Euler-Lagrange systems. Different from the well-known Slotine-Li control law, we propose a robust control law by immerging an internal model. It depends on the tracking error of the position and that of the velocity. By adopting the change supply function technique, we construct a strict Lyapunov function and show that all states of the closed-loop system are stable and the tracking error tends to zero asymptotically. The effectiveness of the proposed approach is illustrated by its application to trajectory tracking control of a three-link cylindrical robot arm.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1855-1860
Number of pages6
ISBN (Electronic)9781665405355
DOIs
Publication statusPublished - 2021
Event2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021 - Sanya, China
Duration: 27 Dec 202131 Dec 2021

Publication series

Name2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021

Conference

Conference2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021
Country/TerritoryChina
CitySanya
Period27/12/2131/12/21

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