Vehicle and Wheels Stability Defined Using Driving Envelope Protection Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00376385" target="_blank" >RIV/68407700:21230/24:00376385 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/TITS.2024.3362064" target="_blank" >https://doi.org/10.1109/TITS.2024.3362064</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TITS.2024.3362064" target="_blank" >10.1109/TITS.2024.3362064</a>
Alternative languages
Result language
angličtina
Original language name
Vehicle and Wheels Stability Defined Using Driving Envelope Protection Algorithm
Original language description
This paper introduces Model Predictive Control for Driving Envelope Protection (MPC for DEP), a novel strategy aimed at enhancing vehicle stability derived from wheel limits, like locking, wheelspin, and skidding. Inspired by aerospace practices, MPC for DEP first defines stable maneuver boundaries based on vehicle controllability, ensuring the driver can control the vehicle’s dynamics being inside the driving envelope. Utilizing model predictive control, this approach keeps the vehicle within predefined combined wheel slip limits, suitable for various vehicle configurations. This formulation is independent of friction properties. The paper presents a comprehensive control framework that integrates braking, acceleration, and steering actions while mirroring the driver’s commands and confines to the driving envelope. Extensive experiments conducted using IPG CarMaker validate the controller’s performance in scenarios such as sine with dwell, slippery surface acceleration, and braking while cornering with and without friction split pad. Results showcase the controller’s robustness across diverse driving conditions, promising improved vehicle stability and safety. This work simplifies control architectures and sets the stage for safer and more stable vehicles.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/8X20037" target="_blank" >8X20037: Exploration of nonlinear predictive control approaches for vehicle dynamics applications</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
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Intelligent Transportation Systems
ISSN
1524-9050
e-ISSN
1558-0016
Volume of the periodical
25
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
11304-11316
UT code for WoS article
001340216400062
EID of the result in the Scopus database
2-s2.0-85186065405