中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (9): 26-32.doi: 10.16265/j.cnki.issn1003-3033.2018.09.005

• 安全系统学 • 上一篇    下一篇

智能汽车换道避障路径规划与跟踪方法

裴红蕾 讲师   

  1. 无锡工艺职业技术学院 机电工程系,江苏 宜兴 214200
  • 收稿日期:2018-06-16 修回日期:2018-08-06 出版日期:2018-09-28 发布日期:2020-09-28
  • 作者简介:裴红蕾(1982—),女,江苏宜兴人,硕士,讲师,主要从事机械故障诊断、机械设计、数控技术、自动驾驶技术等方面的研究。E-mail:15686326963@163.com。

Method of path planning and tracking for intelligent vehicle obstacle avoidance by lane changing

PEI Honglei   

  1. Electromechanical Engineering Department, Wuxi Institute of Art and Technology, Yixing Jiangsu 214200, China
  • Received:2018-06-16 Revised:2018-08-06 Online:2018-09-28 Published:2020-09-28

摘要: 为提高智能汽车的行驶安全性,提出智能汽车换道避障的路径规划和跟踪方法。首先,建立4轮独立驱动汽车的运动学和动力学模型;然后,在路径规划方面,使用多项式函数给出换道避障路径规划,结合加速度阈值和防碰撞2个条件,提出路径调整方法及路径迭代调整方法;最后,在路径跟踪方面,设计模型预测控制器,使用滚动优化和反馈的思想求解前轮转角控制律。结果表明:用多项式函数可规划出避障路径,模型预测控制器有较高的跟踪精度,可以实现汽车的主动避障;通过调整参数,可以调节控制器的跟踪精度、实时性和稳定性。

关键词: 智能汽车, 换道避障, 多项式函数, 滚动优化, 模型预测控制器

Abstract: In order to improve driving safety of intelligent vehicles, an active obstacle avoidance method by lane changing was worked out. Dynamical and kinetic models were built for four-wheel drive independently vehicle. In the matter of path planning, lane changing path was planned by polynomial function, and combining accelerate threshold and obstacle avoidance, a path adjusting method was provided. In the matter of path tracking, a model prediction controller was designed, and the control law was solved by using the thought of rolling optimization and feedback. By simulation, the controller possesses high tracking accuracy, which means active obstacle avoidance has come true. Tracking accuracy, real-time and stability of controller can be adjusted by adjusting parameters.

Key words: intelligent vehicle, obstacle avoidance by lane changing, polynomial function, rolling optimization, model prediction controller

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