Collision risk reduction of N-trailer agricultural machinery by off-track minimization

Leonardo Guevara, Maciej Marcin Michałek, Fernando Auat Cheein*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

In this work we study the effect of changing the vehicle guidance point position over the collision risk and motion control performance of an N-trailer vehicle. Based on a Monte Carlo method, we are able to find the correlation among motion control performance, trajectory curvature variation and guidance point position, to strategically select the latter to enhance the motion control performance. The performance metrics consider controller effort and manoeuvrability space penalties associated with off-track errors and unsafe manoeuvres of the entire vehicles’ chain. To validate scalability of the guidance point selection strategy, several N-trailer vehicles were tested in simulation to track a trajectory with abrupt curvature changes, similar to the trajectories executed by machinery in agricultural operations. The performance results are compared to ones obtained using traditional strategy to show the reduction of dangerous manoeuvres as internal turning from 24.5% up to 42.6% as well as a reduction of the resultant off-track errors from 17.3% up to 26.84% in the cases from 4 to 10 trailers respectively.

Original languageEnglish
Article number105757
JournalComputers and Electronics in Agriculture
Volume178
DOIs
Publication statusPublished - Nov 2020

Keywords

  • Agriculture machinery
  • Articulated vehicles
  • Manoeuvrability
  • Motion control
  • Multi-body systems
  • N-trailer

ASJC Scopus subject areas

  • Forestry
  • Agronomy and Crop Science
  • Computer Science Applications
  • Horticulture

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