汽车工程 ›› 2022, Vol. 44 ›› Issue (7): 960-968.doi: 10.19562/j.chinasae.qcgc.2022.07.002

所属专题: 智能网联汽车技术专题-规划&控制2022年

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考虑时延的信号交叉口生态驾驶控制

陈欣宇,钱立军(),王其东   

  1. 合肥工业大学汽车与交通工程学院,合肥  230009
  • 收稿日期:2022-01-25 修回日期:2022-02-20 出版日期:2022-07-25 发布日期:2022-07-20
  • 通讯作者: 钱立军 E-mail:qianlijun66@163.com
  • 基金资助:
    国家自然科学基金面上项目(51875149)

Eco-driving Control at Signalized Intersections with Consideration of Time Delay

Xinyu Chen,Lijun Qian(),Qidong Wang   

  1. Department of Automotive and Traffic Engineering,Hefei University of Technology,Hefei  230009
  • Received:2022-01-25 Revised:2022-02-20 Online:2022-07-25 Published:2022-07-20
  • Contact: Lijun Qian E-mail:qianlijun66@163.com

摘要:

针对信号交叉口处的生态驾驶问题,本文中提出了一种考虑时变时延的鲁棒模型预测控制方法。首先给出基于交通信号灯正时信息、最优巡航车速和前车状态信息的最优目标车速计算方法,建立时变时延的离散非线性系统模型;然后利用时延的上下界信息构造李雅普诺夫函数,利用线性矩阵不等式求解反馈控制律,保证系统的鲁棒稳定和对目标性能的优化;最后通过仿真和智能小车试验进行验证。结果表明,提出的控制方法能保证车队的安全,并提高燃油经济性和交通流畅性。

关键词: 智能网联汽车, 生态驾驶, 时延

Abstract:

In view of the eco-driving problem at signalized intersections, a robust model predictive control method with considerations of time-varying and time delay is proposed in this paper. Firstly, an optimal target speed calculation method is given based on the traffic signal timing information, the optimal cruising speed and the front vehicle state information, and a discrete nonlinear system model with time-varying time delay is established. Then Lyapunov function is constructed by using the upper and lower bound of time delay, and the feedback control law is solved by utilizing linear matrix inequality to ensure the robust stability of the system and the optimization of target performance. Finally, simulations and intelligent vehicle tests are conducted for verification. The results show that the control method proposed can ensure platoon safety and improve fuel economy and traffic smoothness.

Key words: connected intelligent vehicles, eco-driving, time delay