汽车工程 ›› 2019, Vol. 41 ›› Issue (5): 514-521.doi: 10.19562/j.chinasae.qcgc.2019.05.006

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高速无人驾驶车辆的操控稳定性研究*

刘凯, 陈慧岩, 龚建伟, 陈舒平, 张玉   

  1. 北京理工大学机械与车辆学院,北京 100081
  • 收稿日期:2018-05-01 发布日期:2019-06-05
  • 通讯作者: 龚建伟,教授,博士,E-mail:gongjianwei@bit.edu.cn
  • 基金资助:
    国家自然科学基金(91420203,61703041,51275041);中央高校基本科研业务费专项资金项目资助

A Research on Handling Stability of High-speed Unmanned Vehicles

Liu Kai, Chen Huiyan, Gong Jianwei, Chen Shuping, Zhang Yu   

  1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081
  • Received:2018-05-01 Published:2019-06-05

摘要: 通过分析路面附着条件和道路曲率等因素对车辆转向特性和稳定性的影响,建立了高速车辆的等效动力学模型。提出了一种变步长的模型离散化方法,能够在保证车辆模型预测精度的基础上,实现较长的预测时域,并满足计算实时性的要求。通过对高速车辆稳定行驶状态进行分析,推导了基于包络线的滑移稳定性约束条件,并设计了基于模型预测控制的高速无人驾驶车辆的轨迹跟踪控制器。仿真结果表明,该方法可有效保证高速无人驾驶车辆在不同地面附着情况及道路曲率下的操控稳定性。

关键词: 高速无人驾驶车辆, 车辆动力学, 操控稳定性, 模型预测控制

Abstract: Through analysis of the effect of road adhesion conditions and curvatures to the vehicle steering characteristics and stabilility, an equivalent dynamic model for high-speed unmanned vehicles is established. A model discretization method with variable steps is proposed to ensure a long enough prediction time domain while maintaining model prediction accuracy and computational feasibility. By analyzing the steady running state of high-speed vehicles, the envelope-based sideslip constraints are concluded and the trajectory tracking controller of high-speed unmanned vehicles based on model predictive control is designed. Simulation results validates that the proposed strategy can effectively ensure the vehicle handling stability under different road adhesion conditions and road curvatures.

Key words: high-speed unmanned vehicles, vehicle dynamics, handling stability, model predictive control