Vehicle Rollover Warning and Control Based on Attitude Detection and Fuzzy PID

Wang, Ruiyang; Xu, Xiangbo; Shao, Chen; Guo, Ningyan; Yu, Zhibin

doi:10.3390/app13074339

Cited by 7 publications

(2 citation statements)

References 37 publications

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“…To optimize LTR value by using PID for active suspension system, the parameters in the LTR index must be measured or calculated from sensor signals or by synthesis method [26]. Based on the research results in the studies [27,28], this LTR index is calculated using the above methods according to the following formula:…”

Section: The Evaluation Criteriamentioning

confidence: 99%

Active Suspension with PID Control for Enhanced Rollover Stability in Liquid Tank Trucks

Nguyen,

Tran,

et al. 2024

JESA

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The enhancement of rollover stability in vehicles, particularly in liquid tank trucks, is imperative for reducing the risk of vehicular rollovers and consequent threats to human life and property. The dynamic behavior of the liquid within the tank during maneuvers such as turning or lane-changing plays a significant role in the vehicle's stability. It has been demonstrated that the implementation of a Proportional Integral Derivative (PID) controller within the stabilizer bar of an active suspension system can substantially mitigate the vehicle's propensity to roll. This mitigation is quantitatively evidenced by reductions in the lateral load transfer ratio (LTR) and the roll angle (TRA) of the suspension system. Specifically, during steady turning maneuvers, a decrease of 5.6% in LTR and 12.9% in TRA was observed for liquid levels deemed most hazardous at heights of 1.2m and 1.6m, respectively. Similarly, during lane-changing maneuvers, LTR was reduced by 6.2%, and TRA was decreased by 9.1% at critical liquid levels of 0.8m and 1.6m. These analytical outcomes were derived through the application of the Lagrange method and the quasi-static method for establishing the fluid vibration equation within the tank, supplemented by D'Alembert's principle in constructing a four Degrees of Freedom (DOFs) roll model for the differential equation system of vehicle motion. This research underpins the foundational principles for the design, manufacture, and enhancement of suspension systems, and elucidates the direction for future investigations into tank trucks transporting various liquid types.

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Section: The Evaluation Criteriamentioning

confidence: 99%

Active Suspension with PID Control for Enhanced Rollover Stability in Liquid Tank Trucks

Nguyen,

Tran,

et al. 2024

JESA

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“…Belingardi et al [9] and others applied composite materials to the bumper system to achieve lightweighting while ensuring the crashworthiness of the vehicle. Wang et al [10] developed a control strategy for wire-controlled auxiliary braking based on body-attitude detection and the overall design of the system, achieving automatic speed reduction.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Rollover Crashworthiness and Vehicle Mass Based on Unreplicated Saturated Factorial Design

et al. 2023

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In the realm of van design, researchers have been diligently working to enhance rollover crashworthiness while concurrently achieving lightweight body structures. Unlike front and side impacts, rollover crashworthiness is impacted by a greater number of structural dimensions and material parameters. As such, this paper implements an unreplicated saturated factorial design to conduct factor screening for vehicle rollover crashworthiness. This approach effectively and accurately resolves the screening challenges that arise from large numbers of factors, and eliminates dependence on traditional design experience. Consequently, it shortens the design cycle and reduces development costs. In addition, this paper establishes four Kriging approximate models that describe the specific energy absorption and total mass of the key body structure, the displacement of the roof, and the maximum angular velocity of the body’s center of mass. To address the multi-objective optimization problem of improving rollover crashworthiness while reducing mass, this paper combines the particle swarm optimization algorithm with the artificial immune algorithm. This hybrid algorithm converges rapidly, and the Pareto solution set exhibits superior uniformity and diversity. Finally, the shortest distance method is employed to identify the optimal design scheme that can enhance the rollover crashworthiness of vans and reduce the mass of body parts.

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