Anti-Rollover Path Tracking Control for an Autonomous Semi-Trailer Tank Truck

This study focuses on the anti-rollover control problem for autonomous semi-trailer tank trucks and proposes an anti-rollover path tracking control algorithm suitable for autonomous driving scenarios. A simplified semi-trailer tank truck model is established in the controller, modeling liquid as a single pendulum considering both lateral and roll inputs, and an anti-rollover path tracking algorithm that utilizes it is developed based on multi-constraint model predictive control (MPC). The equivalent lateral load transfer rate (LTR), liquid sloshing angle, and angular velocity are used as constraints to achieve multi-objective optimization for path tracking, sloshing suppression, and rollover prevention. A vehicle-fluid coupling co-simulation platform based on computational fluid dynamics (CFD) is built to verify the control performance under extreme scenarios of left turning, high-speed single-lane change (SLC), and short-distance double-lane change (DLC). Additionally, the similarity principle for experimental validation using a down-scale model tank truck is derived, and experiments are conducted on the model semi-trailer tank truck under the DLC scenario. Through simulation and experimental verification, the proposed anti-rollover path tracking algorithm demonstrates acceptable tracking performance while ensuring that no rollover is carried out under extreme conditions, limiting the angle of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$|LTR|&lt;0.75$</tex-math></inline-formula> and sloshing within -20∘-20∘, reducing the angle of sloshing by a maximum of 42% in the experiment. Moreover, the real-time capability of the proposed algorithm meets the requirements for practical applications with a peak time consumption of one control step less than 20 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ms</i> in the controller tested.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-05-09
DOI
https://doi.org/10.1109/tits.2025.3563475
Citations
3
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
2.05

Funders

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article

Anti-Rollover Path Tracking Control for an Autonomous Semi-Trailer Tank Truck

Bolin Gao, Wei Zhong, Yugong Luo, Xiaojing Qi
3 citations
IEEE Transactions on Intelligent Transportation Systems
Vehicle Dynamics and Control Systems
2.05
article

Anti-Rollover Path Tracking Control for an Autonomous Semi-Trailer Tank Truck

Bolin Gao, Wei Zhong, Yugong Luo, Xiaojing Qi
article en
3 citations

Abstract

This study focuses on the anti-rollover control problem for autonomous semi-trailer tank trucks and proposes an anti-rollover path tracking control algorithm suitable for autonomous driving scenarios. A simplified semi-trailer tank truck model is established in the controller, modeling liquid as a single pendulum considering both lateral and roll inputs, and an anti-rollover path tracking algorithm that utilizes it is developed based on multi-constraint model predictive control (MPC). The equivalent lateral load transfer rate (LTR), liquid sloshing angle, and angular velocity are used as constraints to achieve multi-objective optimization for path tracking, sloshing suppression, and rollover prevention. A vehicle-fluid coupling co-simulation platform based on computational fluid dynamics (CFD) is built to verify the control performance under extreme scenarios of left turning, high-speed single-lane change (SLC), and short-distance double-lane change (DLC). Additionally, the similarity principle for experimental validation using a down-scale model tank truck is derived, and experiments are conducted on the model semi-trailer tank truck under the DLC scenario. Through simulation and experimental verification, the proposed anti-rollover path tracking algorithm demonstrates acceptable tracking performance while ensuring that no rollover is carried out under extreme conditions, limiting the angle of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$|LTR|&lt;0.75$</tex-math></inline-formula> and sloshing within -20∘-20∘, reducing the angle of sloshing by a maximum of 42% in the experiment. Moreover, the real-time capability of the proposed algorithm meets the requirements for practical applications with a peak time consumption of one control step less than 20 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ms</i> in the controller tested.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(7)
Tsinghua University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 14%
Vehicle Dynamics and Control Systems
2.05
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