考虑模型和参数不确定性的道路车辆稳定性控制

M. Mehdizadeh, M. Soleymani, A. Abolmasoumi
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引用次数: 4

摘要

由于模型参数未知和未建模动力学导致的参数不确定性是降低车辆稳定性控制系统性能的两个因素。本文提出了一种改进的滑模控制系统,以在存在道路和模型不确定性的情况下,通过差速制动提高客车的操纵性能。所提出的控制系统由两个控制回路组成,并通过最小化所需和实现的横摆角速度来稳定车辆。使用滑模控制器的内环负责计算所需的横摆力矩。起监督控制器作用的外部控制回路决定每个车轮的制动压力。控制器是基于简化的自行车模型设计的,并在具有足够自由度的虚拟原型模型中实现。仿真结果证明了所提出的控制系统在车辆剧烈操纵下的快速稳定能力。此外,还证明了控制器在车辆质量和道路摩擦系数变化的情况下的鲁棒性。
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Stability control of a road vehicle considering model and parametric uncertainties
Parametric uncertainties due to unknown parameters of the model and unmodelled dynamics are two factors which degrade performance of the vehicle stability control systems. In this paper, a modified sliding mode control system is proposed to enhance the handling performance of a passenger car via differential braking in the presence of the road and model uncertainties. The proposed control system consists of two control loops and stabilises the vehicle via minimising the desired and achieved yaw rates. The inner loop which utilises a sliding mode controller is responsible for calculating the required yaw moment. The outer control loop which plays the role of supervisor controller determines the braking pressure at each wheel. The controller is designed based on the reduced bicycle model and is implemented in a virtual prototype model with sufficient degrees of freedom. The simulations results establish the ability of the proposed control system in vehicle rapid stabilising under a severe manoeuvre. Moreover, robustness of the controller in the presence of vehicle mass and road friction coefficient variations was proved.
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来源期刊
International Journal of Vehicle Autonomous Systems
International Journal of Vehicle Autonomous Systems Engineering-Automotive Engineering
CiteScore
1.30
自引率
0.00%
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0
期刊介绍: The IJVAS provides an international forum and refereed reference in the field of vehicle autonomous systems research and development.
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