Design of sliding mode controller on steering control of skid steering 6×6 unmanned vehicle

Yue Ma, Yi Li, Hongjie Liang

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

1 Citation (Scopus)

Abstract

In this paper, a sliding mode controller is proposed for an electrical unmanned vehicle with skid steering mechanism by generating a direct yawing moment, aiming at improving the steering stability of vehicle. Based on Newton's second law, a set of dynamics model of vehicle is established, and dynamical behavior of vehicle is analyzed, in which requirements on the direct yawing moment is revealed explicitly. Subsequently, a slide mode controller to adjust the yawing moment is designed and implemented in MATLAB/Simulink. By numerical simulation, side-slip angles and the lateral forces of the each wheel can be obtained. Simulation results demonstrate that the generated direct yawing moment meet the control requirements perfect and the response on the lateral velocity of the vehicle and yaw rate show the effectiveness of the approach above.

Original languageEnglish
Title of host publicationProceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
EditorsXin Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages272-276
Number of pages5
ISBN (Electronic)9781538631065
DOIs
Publication statusPublished - 2 Jul 2017
Event2017 IEEE International Conference on Unmanned Systems, ICUS 2017 - Beijing, China
Duration: 27 Oct 201729 Oct 2017

Publication series

NameProceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
Volume2018-January

Conference

Conference2017 IEEE International Conference on Unmanned Systems, ICUS 2017
Country/TerritoryChina
CityBeijing
Period27/10/1729/10/17

Keywords

  • Skid steering
  • sliding mode control
  • stability

Fingerprint

Dive into the research topics of 'Design of sliding mode controller on steering control of skid steering 6×6 unmanned vehicle'. Together they form a unique fingerprint.

Cite this