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Collision Avoidance Control with Motion Information for Multiple Tractor-trailer Vehicles

  • Wenxue Zhang
  • , Dusan M. Stipanovic
  • , Di Zhou
  • Harbin Institute of Technology
  • University of Illinois at Urbana-Champaign

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

Abstract

In this paper, a closed-form feedback control strategy is developed to guarantee the safety maneuvers for N tractor-trailer vehicles with on-axle hitching structures, which resolves the non-cooperative collision avoidance problem between self-segments and the cooperative one among multiple vehicles. Motion information of the vehicle chains is introduced to make the comprehensive assessments for the collision risk. This allows the multi-agent system under the proposed control laws to make the real-time decision for acquiring the smoother motion trajectories and better dynamic performance. Lyapunov-based stability analysis is provided to prove that the system states can converge to the desired points or remain within bounded position errors with respect to reference trajectories without collisions. A simulation is also presented to illustrate the effectiveness of the proposed control laws.

Original languageEnglish
Title of host publicationProceedings of the 40th Chinese Control Conference, CCC 2021
EditorsChen Peng, Jian Sun
PublisherIEEE Computer Society
Pages5086-5092
Number of pages7
ISBN (Electronic)9789881563804
DOIs
StatePublished - 26 Jul 2021
Event40th Chinese Control Conference, CCC 2021 - Shanghai, China
Duration: 26 Jul 202128 Jul 2021

Publication series

NameChinese Control Conference, CCC
Volume2021-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference40th Chinese Control Conference, CCC 2021
Country/TerritoryChina
CityShanghai
Period26/07/2128/07/21

Keywords

  • Motion information
  • Multi-agent system
  • Obstacle collisions
  • Self collisions
  • Tractor-trailer vehicle

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