Parallel Structure of Six Wheel-legged Robot Model Predictive Tracking Control based on Dynamic Model

Bomeng Wang, Junzheng Wang, Shoukun Wang, Jiehao Li

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

7 Citations (Scopus)

Abstract

In the research of wheel-legged robots, trajectory tracking control is the inevitable requirement. In this paper, a trajectory tracking control scheme based on model predictive control for the parallel mechanism of six wheel-legged robot is proposed. A dynamic model was employed to reduce the amount of calculations for planning and control. In the model, the dynamic nonlinear constraints such as the tire slip rate and the roll caused by the lateral acceleration need to be considered. Finally, the control method is verified in the dynamic model. The simulation results show that all dynamic constraints can be maintained within a given interval and the control method has obvious tracking effect improvement.

Original languageEnglish
Title of host publicationProceedings - 2019 Chinese Automation Congress, CAC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5143-5148
Number of pages6
ISBN (Electronic)9781728140940
DOIs
Publication statusPublished - Nov 2019
Event2019 Chinese Automation Congress, CAC 2019 - Hangzhou, China
Duration: 22 Nov 201924 Nov 2019

Publication series

NameProceedings - 2019 Chinese Automation Congress, CAC 2019

Conference

Conference2019 Chinese Automation Congress, CAC 2019
Country/TerritoryChina
CityHangzhou
Period22/11/1924/11/19

Keywords

  • MPC
  • dynamic model
  • trajectory tracking
  • wheel-legged robot

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