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Impact of Control System Model Parameters on the Obstacle Avoidance by an Autonomous Car-Trailer Unit: Research Results

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  • Leon Prochowski

    (Institute of Vehicles and Transportation, Military University of Technology (WAT), gen. Sylwestra Kaliskiego 2 Street, 00-908 Warsaw, Poland
    Łukasiewicz Research Network—Automotive Industry Institute (Łukasiewicz-PIMOT), Jagiellońska 55 Street, 03-301 Warsaw, Poland)

  • Mateusz Ziubiński

    (Institute of Vehicles and Transportation, Military University of Technology (WAT), gen. Sylwestra Kaliskiego 2 Street, 00-908 Warsaw, Poland)

  • Patryk Szwajkowski

    (Electromobility Department, Łukasiewicz Research Network—Automotive Industry Institute (Łukasiewicz-PIMOT), Jagiellońska 55 Street, 03-301 Warsaw, Poland)

  • Mirosław Gidlewski

    (Institute of Vehicles and Transportation, Military University of Technology (WAT), gen. Sylwestra Kaliskiego 2 Street, 00-908 Warsaw, Poland
    Łukasiewicz Research Network—Automotive Industry Institute (Łukasiewicz-PIMOT), Jagiellońska 55 Street, 03-301 Warsaw, Poland)

  • Tomasz Pusty

    (Vehicle Tests Laboratory, Łukasiewicz Research Network—Automotive Industry Institute (Łukasiewicz-PIMOT), Jagiellońska 55 Street, 03-301 Warsaw, Poland)

  • Tomasz Lech Stańczyk

    (Department of Automotive Engineering and Transport, Kielce University of Technology, Ave. 1000—lecia Państwa Polskiego 7, 25-314 Kielce, Poland)

Abstract

The introduction of autonomous cars will help to improve road traffic safety, and the use of a cargo trailer improves the energy efficiency of transport. One of the critical (collision) road situations has been considered, where immediate counteraction is required in a space that has been only partly defined. This research work was aimed at determining the impact of the trajectory planning method and the values of some parameters of the control system on the feasibility of safe avoidance of an obstacle that has suddenly appeared. The obstacle is assumed to be a motor vehicle moving on a road intersection along a collision path in relation to the autonomous car-trailer unit (CT unit) travelling at high speed. Analysis of cooperation between several non-linear models (representing the car, trailer, tyre–road interaction, and driving controller) has been carried out. Mathematical models of the control system and the CT unit have been built. The process of selection of temporary and variable parameters, applied to the control system for the time of the critical situation under consideration, has been shown. The research work carried out has made it possible to recommend appropriate parameter values for the control system.

Suggested Citation

  • Leon Prochowski & Mateusz Ziubiński & Patryk Szwajkowski & Mirosław Gidlewski & Tomasz Pusty & Tomasz Lech Stańczyk, 2021. "Impact of Control System Model Parameters on the Obstacle Avoidance by an Autonomous Car-Trailer Unit: Research Results," Energies, MDPI, vol. 14(10), pages 1-31, May.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2958-:d:558471
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    References listed on IDEAS

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    1. Chuanyang Sun & Xin Zhang & Lihe Xi & Ying Tian, 2018. "Design of a Path-Tracking Steering Controller for Autonomous Vehicles," Energies, MDPI, vol. 11(6), pages 1-17, June.
    2. Pengwei Wang & Song Gao & Liang Li & Binbin Sun & Shuo Cheng, 2019. "Obstacle Avoidance Path Planning Design for Autonomous Driving Vehicles Based on an Improved Artificial Potential Field Algorithm," Energies, MDPI, vol. 12(12), pages 1-14, June.
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    Cited by:

    1. Sara Abdallaoui & El-Hassane Aglzim & Ahmed Chaibet & Ali Kribèche, 2022. "Thorough Review Analysis of Safe Control of Autonomous Vehicles: Path Planning and Navigation Techniques," Energies, MDPI, vol. 15(4), pages 1-19, February.

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