Development of lateral control system for autonomous vehicle based on adaptive pure pursuit algorithm

Myung-Wook Park, Sangwoo Lee, Wooyong Han
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引用次数: 73

Abstract

This paper proposes a lateral control system based on adaptive pure pursuit algorithm. The lateral control system consists of the path tracker and primitive driver. The path tracker is improved than original pure pursuit method. The original pure pursuit method is influenced by look ahead distance that is dynamically adjusted with velocity. If look ahead distance is short, tracking performance is good. But if controller has long look ahead distance, we can see cutting corner at curved path. To reduce tracking error, we applied the PI (Proportional-Integral) control theory in lateral offset. Proportional gain is constant and integral gain is a function of the road curvature. The total desired steering angle is sum of look ahead distance desired angle and lateral offset desired angle. The primitive driver controls steering actuator by using PID (Proportional-Integral-Derivative) controller. The performance of proposed path tracking algorithm is a good at curved path, but similar to original path tracking method at low curvature path.
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基于自适应纯追踪算法的自动驾驶汽车横向控制系统的研制
提出了一种基于自适应纯追踪算法的横向控制系统。横向控制系统由路径跟踪器和原始驱动器组成。路径跟踪器在原有的纯追踪方法的基础上进行了改进。原有的纯追踪方法受视前距的影响,视前距随速度动态调整。如果前瞻距离短,跟踪性能好。但如果控制器有较长的前视距离,我们可以在弯曲路径上看到切角。为了减小跟踪误差,我们在横向偏移中应用了PI(比例积分)控制理论。比例增益是常数,积分增益是道路曲率的函数。总期望转向角是前视距离期望角和横向偏移期望角的总和。原始驱动器采用比例-积分-导数(PID)控制器控制转向执行器。本文提出的路径跟踪算法在曲线路径上表现良好,但在低曲率路径上与原始路径跟踪方法相似。
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