华南理工大学学报(自然科学版) ›› 2018, Vol. 46 ›› Issue (3): 78-85.doi: 10.3969/j.issn.1000-565X.2018.03.012

• 电子、通信与自动控制 • 上一篇    下一篇

极限工况下自动驾驶车辆转向控制器的设计

孙传扬 张欣 席利贺 陈宏伟   

  1. 北京交通大学 新能源汽车动力总成技术北京市重点实验室,北京 100044
  • 收稿日期:2017-07-20 修回日期:2017-10-31 出版日期:2018-03-25 发布日期:2018-03-01
  • 通信作者: 张欣(1959-),女,博士,教授,主要从事新能源汽车、智能驾驶研究 E-mail:zhangxin@bjtu.edu.cn
  • 作者简介:孙传扬(1992-),男,博士生,主要从事智能驾驶、汽车动力学研究
  • 基金资助:
     国家重点研发计划项目(2016YFB0101000);北京交通大学中央高校基本科研业务费专项资金资助项目 (M17JB00170) 

Design for the Steering Controller of Autonomous
Vehicles at the Limits of Handling
 

 SUN Chuanyang ZHANG Xin XI Lihe CHEN Hongwei    

  1.  Beijing Key Laboratory of Powertrain for New Energy Vehicle,Beijing Jiaotong University,Beijing 100044,China
  • Received:2017-07-20 Revised:2017-10-31 Online:2018-03-25 Published:2018-03-01
  • Contact: 张欣(1959-),女,博士,教授,主要从事新能源汽车、智能驾驶研究 E-mail:zhangxin@bjtu.edu.cn
  • About author:孙传扬(1992-),男,博士生,主要从事智能驾驶、汽车动力学研究
  • Supported by:
     Supported by the National Key Research Development Program of China(2016YFB0101000) 

摘要: 为提高极限工况下自动驾驶车辆的路径跟踪精度并维持车辆行驶稳定性,设计 了一种基于线性模型预测控制的路径跟踪转向控制器. 该控制器以速度矢量方向角偏差 作为控制参考量,在计算过程中以理想质心侧偏角代替实际质心侧偏角,以提高跟踪精 度; 采用前轮侧向力为控制输入量,并应用仿射近似方法对后轮侧向力进行线性化处理, 以减小计算负担. CarSim 与 Matlab/Simulink 的联合仿真结果表明,该控制器能够在轮胎 处于附着极限的情况下维持车辆稳定行驶,且跟踪精度较传统控制器有明显的提高. 

关键词: 自动驾驶车辆, 路径跟踪, 转向控制, 车辆动力学, 模型预测控制 

Abstract: This paper presents a path tracking steering controller based on the model predictive control (MPC) that simultaneously minimizes lateral path tracking deviation while maintaining vehicle stability for autonomous vehicles at the limits of handling. To improve the tracking accuracy, the course direction deviation is chosen for referential state,and the steadystate sideslip is used to calculate the course direction deviation instead of using the realtime sideslip. By using the lateral force of front tire as the input of the controller directly,and linearizing the rear tire force by the affine approximation, the computational burden can be reduced. The simulation results on a CarSimSimulink demonstrate that the present controller can operate the vehicle stably at the limits of tire adhesion,and has a better performance in tracking in comparison with the traditional controller. 

Key words: autonomous vehicles, path tracking, steering controller, vehicle dynamics, model predictive control

中图分类号: