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

Guevara, Leonardo, Michałek, Maciej Marcin and Auat Cheein, Fernando (2020) Collision risk reduction of N-trailer agricultural machinery by off-track minimization. Computers and Electronics in Agriculture, 178 . p. 105757. ISSN 0168-1699

Full content URL: https://doi.org/10.1016/j.compag.2020.105757

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

Keywords:N-trailers, Motion Control, Maneuverability, Collision avoidance, agricultural machinery, Control Systems, Articulated vehicles
Subjects:H Engineering > H660 Control Systems
H Engineering > H131 Automated Engineering Design
H Engineering > H670 Robotics and Cybernetics
H Engineering > H130 Computer-Aided Engineering
Divisions:College of Science > Lincoln Institute for Agri-Food Technology
ID Code:53535
Deposited On:06 Mar 2023 15:49

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