汽车工程 ›› 2021, Vol. 43 ›› Issue (7): 987-994.doi: 10.19562/j.chinasae.qcgc.2021.07.005

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汽车垂直泊车路径规划与路径跟踪研究

高强1,陆洲1,段晨东2,徐婷1()   

  1. 1.长安大学汽车学院,西安 710064
    2.长安大学电子与控制工程学院,西安 710064
  • 收稿日期:2020-11-03 修回日期:2021-03-11 出版日期:2021-07-25 发布日期:2021-07-20
  • 通讯作者: 徐婷 E-mail:annabelxu@163.com
  • 基金资助:
    国家自然科学基金(51878066);中央高校基本科研业务费资金项目(300102229303)

Research on Vehicle Vertical Parking Path Planning and Path Tracking

Qiang Gao1,Zhou Lu1,Chendong Duan2,Ting Xu1()   

  1. 1.School of Automobile,Chang’an University,Xi’an 710064
    2.School of Electronic and Control Engineering,Chang’an University,Xi’an 710064
  • Received:2020-11-03 Revised:2021-03-11 Online:2021-07-25 Published:2021-07-20
  • Contact: Ting Xu E-mail:annabelxu@163.com

摘要:

自动泊车系统(APS)是智能汽车研究中一项重要的内容。当前大部分垂直自动泊车算法未考虑汽车初始位置航向角误差的影响,导致实际泊车时效果不理想或发生剐蹭事故。针对这一问题,本文中研究了汽车初始位置航向角存在误差(即初始位置航向角不为零)时的垂直泊车路径规划和路径跟踪方法。首先利用四次样条函数对泊车路径进行规划,改善路径特征,然后为改进目前常用的预瞄误差前馈跟踪算法对变曲率路径跟踪误差较大、且滞后较明显的缺点,设计了预瞄误差前馈与航向角反馈相结合的泊车路径跟踪控制算法。通过Simulink/CarSim联合仿真和实车试验对所提出的泊车算法进行了验证,仿真及实车试验结果均表明,当汽车初始位置航向角不为零时,所提出的算法能够规划出可行泊车路径,而预瞄误差前馈与航向角反馈相结合的路径跟踪控制算法较单一的预瞄误差前馈控制方法跟踪误差更小,最终泊车位姿更理想。

关键词: 自动泊车, 垂直泊车, 路径规划, 路径跟踪, 航向角反馈

Abstract:

Automatic Parking System is an important part of intelligent vehicle research. Most of the current vertical automatic parking algorithms fail to consider the influence of the heading angle error of the initial postion of the vehicle, which leads to unsatisfactory parking or scratch as a result. For this problem, the vertical parking path planning and path tracking algorithms, when the heading angle of the initial position of the vehicle has error (i.e. the initial position heading angle is not zero), are studied in this paper. Firstly, the quadric spline function is applied to plan the parking path to improve the path characteristics. Then, a path tracking control algorithm combining preview error feedforward and heading angle feedback is designed in this paper, in order to improve the performance of the current commonly used preview error feedforward tracking algorithm, which shows big error and obvious lag in variable curvature path tracking. The proposed parking algorithm is verified by Simulink/Carsim co?simulation and real vehicle test. Both the simulation and real vehicle test results indicate that when the initial position heading angle of the vehicle is not zero, the designed algorithm is able to plan a feasible parking path, while the path tracking control algorithm combining preview error feedforward and heading angle feedback has smaller tracking error and better final parking position, comparing with that just using preview error feedforward.

Key words: automatic parking, vertical parking, path planning, path tracking, heading angle feedback