Study on the anti-rollover control of four-axle heavy dump trucks during lifting and unloading based on the energy method

In order to prevent the rollover risk of four-axle heavy dump trucks during lifting and unloading, encountering significant road cross slope angle or uneven load distribution, a comprehensive dynamics model for the lifting and unloading on the slope was established. This model consisted of the roll dynamics model, the electrohydraulic servo actuator model, the lifting kinematics model, and the cargo sliding kinematics model. A rollover evaluation index of the energy method was proposed to assess the rollover risk during lifting and unloading. The correctness of the model and the feasibility of the energy method were verified through MATLAB/Simulink simulations. Then, a hierarchical anti-rollover control strategy was designed, and a backstepping sliding mode controller based on the snow ablation optimizer was employed as the upper-level controller to generate the desired force for active suspension actuators, while the proportional integral control served as a bottom controller to track the desired force accurately. The simulation results show that, compared to the no control and backstepping sliding mode control, the roll angles of cargo and cargo box were reduced by 23.70% and 2.28% under a significant road cross slope angle condition, and reduced by 22.74% and 0.19% under a large uneven load distribution condition. The designed control strategy is more effective in preventing the risk of rollover.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2026-05-31
DOI
https://doi.org/10.1177/09544070261451946
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Study on the anti-rollover control of four-axle heavy dump trucks during lifting and unloading based on the energy method

Mingmao Hu, Qingshan Gong, Aihong Gong, Mengchao Wang et al.
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Vehicle Dynamics and Control Systems
article

Study on the anti-rollover control of four-axle heavy dump trucks during lifting and unloading based on the energy method

Mingmao Hu, Qingshan Gong, Aihong Gong, Mengchao Wang, Lihang Wang, Yongchao Li, Dong Guo
article en

Abstract

In order to prevent the rollover risk of four-axle heavy dump trucks during lifting and unloading, encountering significant road cross slope angle or uneven load distribution, a comprehensive dynamics model for the lifting and unloading on the slope was established. This model consisted of the roll dynamics model, the electrohydraulic servo actuator model, the lifting kinematics model, and the cargo sliding kinematics model. A rollover evaluation index of the energy method was proposed to assess the rollover risk during lifting and unloading. The correctness of the model and the feasibility of the energy method were verified through MATLAB/Simulink simulations. Then, a hierarchical anti-rollover control strategy was designed, and a backstepping sliding mode controller based on the snow ablation optimizer was employed as the upper-level controller to generate the desired force for active suspension actuators, while the proportional integral control served as a bottom controller to track the desired force accurately. The simulation results show that, compared to the no control and backstepping sliding mode control, the roll angles of cargo and cargo box were reduced by 23.70% and 2.28% under a significant road cross slope angle condition, and reduced by 22.74% and 0.19% under a large uneven load distribution condition. The designed control strategy is more effective in preventing the risk of rollover.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Hubei University of Automotive Technology (CN), China Automotive Engineering Research Institute (CN), Chongqing University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 9%
Vehicle Dynamics and Control Systems
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