Disturbance Observer-based Discrete-time Sliding Mode Tracking Control for Nonholonomic Robots

Yanye Hao, Tao Mei, Na Zhang, Ganghui Shen, Jia Xu, Zhiqiang Ma

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

Abstract

This paper develops a disturbance observer-based discrete-time sliding mode control (DOB-DSMC) method to address the trajectory tracking problem for nonholonomic robots subject to disturbances. Firstly, a reduced-dimensional tracking error system is derived to overcome the disadvantage of the underactuated robot system. In the light of reduced-dimensional system, a disturbance observer is studied to estimate and compensate for disturbances. Then, inspired by the continuous terminal sliding mode surface, a novel discrete-time terminal sliding surface is designed. Further, the arctangent function is inducted to improve the tracking accuracy and attenuate the chattering phenomenon. Moreover, the asymptotic stability of system is proved via the Lyapunov method. Finally, the effectiveness of the exploited algorithm is verified by a numerical simulation.

Original languageEnglish
Title of host publicationIECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9798350331820
DOIs
StatePublished - 2023
Event49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore
Duration: 16 Oct 202319 Oct 2023

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
ISSN (Print)2162-4704
ISSN (Electronic)2577-1647

Conference

Conference49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
Country/TerritorySingapore
CitySingapore
Period16/10/2319/10/23

Keywords

  • Discrete-time sliding mode control
  • Disturbance observer
  • Nonholo-nomic robots
  • Trajectory tracking

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