Model Predictive Visual Trajectory-Tracking Control of Wheeled Mobile Robots

Hongli Bai, Jian Gao, Xiaoxiao Sun, Weisheng Yan

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

5 Scopus citations

Abstract

In this paper, the visual-based trajectory-tracking control of differential wheeled mobile robots with fixed cameras is investigated by using a model predictive control (MPC)-based method. Firstly, the kinematic model and visual trajectory-tracking error model are established for a mobile robot system with a fixed camera, where the reference trajectory is generated by a reference robot with the same model of real one. The visual trajectory tracking controller is designed, in which the nonlinear model predictive control (NMPC) method is used to ensure that the mobile robot stays in the field-of-view of the global camera. The simulation results are presented, which show that the MPC controller with larger prediction horizon has better performance in the sense of faster convergence rate and higher tracking accuracy, and the cost function also affects the convergence rate and overshoot of the model predictive control system.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages569-574
Number of pages6
ISBN (Electronic)9781728136660
DOIs
StatePublished - Jun 2019
Event28th IEEE International Symposium on Industrial Electronics, ISIE 2019 - Vancouver, Canada
Duration: 12 Jun 201914 Jun 2019

Publication series

NameIEEE International Symposium on Industrial Electronics
Volume2019-June

Conference

Conference28th IEEE International Symposium on Industrial Electronics, ISIE 2019
Country/TerritoryCanada
CityVancouver
Period12/06/1914/06/19

Keywords

  • model predictive control
  • trajectory tracking
  • visual servo control
  • wheeled mobile robots

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