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首页> 外文期刊>Mechanical systems and signal processing >Coordinated longitudinal and lateral vehicle stability control based on the combined-slip tire model in the MPC framework
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Coordinated longitudinal and lateral vehicle stability control based on the combined-slip tire model in the MPC framework

机译:基于MPC框架中的混合轮胎模型协调纵向和横向车辆稳定性控制

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摘要

In extreme driving situations, the coupling between the longitudinal and lateral vehicle motion becomes significant with the highly nonlinear tire forces and influences vehicle overall stability. To address the above problem, a model predictive controller is proposed for four wheels independent motor-drive electric vehicles. Firstly, a LuGre combined-slip tire model is developed to describe the coupling nonlinearity of the tire. The variation of longitudinal velocity is considered a disturbance term in the vehicle dynamics model to consider its effect on vehicle stability. Then, the multiple objectives, including tracking the reference values of the yaw rate and lateral velocity, suppressing the tire slip ratios, and reducing the torque energy consumptions, are balanced by the additional torque generated by the designed model-based controller. The safety and actuator constraints are considered concurrently. Finally, the proposed controller is tested via co-simulation with CarSim and MATLAB/Simulink, and a hardware-in-loop system with extreme maneuvers. The results show that the handling performance, longitudinal and lateral stability are effectively improved under extreme conditions.
机译:在极端驾驶情况下,纵向和横向车辆运动之间的联接与高度非线性轮胎力变得显着,并影响车辆整体稳定性。为了解决上述问题,提出了一种模型预测控制器,用于四个轮子独立的电动驱动电动车辆。首先,开发了一种Lugre合并滑动轮胎模型来描述轮胎的耦合非线性。纵向速度的变化被认为是车辆动力学模型中的扰动项,以考虑其对车辆稳定性的影响。然后,多个目标包括跟踪横摆率和横向速度的参考值,抑制轮胎滑动比率,以及减小扭矩能量消耗,通过由所设计的基于模型的控制器产生的附加扭矩平衡。安全和执行器约束同时考虑。最后,通过用Carsim和Matlab / Simulink的共同仿真测试所提出的控制器,以及具有极端操纵的硬件环路系统。结果表明,在极端条件下有效地改善了处理性能,纵向和横向稳定性。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2021年第12期|107947.1-107947.17|共17页
  • 作者单位

    State Key Laboratory of Automotive Simulation and Control Jilin University Changchun 130022 China The Department of Control Science and Engineering School of Communication Engineering Jilin University Changchun 130025 China;

    The Department of Control Science and Engineering School of Communication Engineering Jilin University Changchun 130025 China;

    State Key Laboratory of Automotive Simulation and Control Jilin University Changchun 130022 China The Department of Control Science and Engineering School of Communication Engineering Jilin University Changchun 130025 China;

    The Department of Control Science and Engineering School of Communication Engineering Jilin University Changchun 130025 China;

    The Department of Control Science and Engineering School of Communication Engineering Jilin University Changchun 130025 China College of Electronics and Information Engineering Tongji University Shanghai 201804 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Model predictive control; Vehicle stability; Combined-slip characteristics; LuGre tire model; Extreme driving conditions;

    机译:模型预测控制;车辆稳定性;混合特性;Lugre轮胎模型;极端驾驶条件;

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