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