Hierarchical Scheme Based Trajectory Tracking Control for 4-Wheel Skid-Steering Mobile Robots With Unknown Disturbances and Motion Constraints

Zhihui Li, Sihang Li, Jinhui Zhang

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

Abstract

The trajectory tracking problem of 4-wheel skid-steering mobile robots (SSMRs) with unknown disturbances and motion constraints is considered in this paper. A hierarchical control scheme is proposed to solve these problems. The motion constraints are considered in the kinematic layer with the model predictive control (MPC) approach, and the disturbances are estimated and compensated in the dynamics layer by a time-varying gain extended state observer (ESO). In addition, the control allocation is considered to allocate the virtual control inputs obtained by the upper layer controller to make the 4-wheel motors turn as instructed. Finally, the stability and tracking performance of the proposed control scheme are verified by theoretical analysis and comparative numerical simulations.

Original languageEnglish
Title of host publicationProceedings of the 41st Chinese Control Conference, CCC 2022
EditorsZhijun Li, Jian Sun
PublisherIEEE Computer Society
Pages662-667
Number of pages6
ISBN (Electronic)9789887581536
DOIs
Publication statusPublished - 2022
Event41st Chinese Control Conference, CCC 2022 - Hefei, China
Duration: 25 Jul 202227 Jul 2022

Publication series

NameChinese Control Conference, CCC
Volume2022-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference41st Chinese Control Conference, CCC 2022
Country/TerritoryChina
CityHefei
Period25/07/2227/07/22

Keywords

  • Trajectory tracking control
  • extended state observer
  • model predictive control
  • skid-steering mobile robots

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