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Model Predictive Control for Autonomous Driving Vehicles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F21%3A00009028" target="_blank" >RIV/46747885:24220/21:00009028 - isvavai.cz</a>

  • Alternative codes found

    RIV/46747885:24620/21:00009028

  • Result on the web

    <a href="https://www.mdpi.com/2079-9292/10/21/2593" target="_blank" >https://www.mdpi.com/2079-9292/10/21/2593</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/electronics10212593" target="_blank" >10.3390/electronics10212593</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Model Predictive Control for Autonomous Driving Vehicles

  • Original language description

    The field of autonomous driving vehicles is growing and expanding rapidly. However, the control systems for autonomous driving vehicles still pose challenges, since vehicle speed and steering angle are always subject to strict constraints in vehicle dynamics. The optimal control action for vehicle speed and steering angular velocity can be obtained from the online objective function, subject to the dynamic constraints of the vehicle’s physical limitations, the environmental conditions, and the surrounding obstacles. This paper presents the design of a nonlinear model predictive controller subject to hard and softened constraints. Nonlinear model predictive control subject to softened constraints provides a higher probability of the controller finding the optimal control actions and maintaining system stability. Different parameters of the nonlinear model predictive controller are simulated and analyzed. Results show that nonlinear model predictive control with softened constraints can considerably improve the ability of autonomous driving vehicles to track exactly on different trajectories.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF16_025%2F0007293" target="_blank" >EF16_025/0007293: Modular platform for autonomous chassis of specialized electric vehicles for freight and equipment transportation</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Electronics

  • ISSN

    2079-9292

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    21

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    15

  • Pages from-to

  • UT code for WoS article

    000718497600001

  • EID of the result in the Scopus database

    2-s2.0-85117578601