论文标题

自动化汽车的速度自适应横向控制

Speed-Adaptive Model-Free Lateral Control for Automated Cars

论文作者

Moreno-Gonzalez, Marcos, Artuñedo, Antonio, Villagra, Jorge, Join, Cédric, Fliess, Michel

论文摘要

为了增加智能车辆在不干预的情况下可以运行的情况的数量,无论道路形状或纵向速度如何,都需要横向控制以准确指导它。一些研究通过调整低速和高速控制器的控制器以及包括输出适应定律来解决此问题。在本文中,提出了一种在宽速度范围内横向控制车辆的策略。跟踪质量,系统稳定性和乘客舒适度进行了彻底分析,并将其与类似的对照结构进行比较。在模拟中获得的结果和真正的车辆都表明,开发的策略轨迹具有高度的准确性,安全性和舒适性。

In order to increase the number of situations in which an intelligent vehicle can operate without human intervention, lateral control is required to accurately guide it in a reference trajectory regardless of the shape of the road or the longitudinal speed. Some studies address this problem by tuning a controller for low and high speeds and including an output adaptation law. In this paper, a strategy framed in the Model-Free Control paradigm is presented to laterally control the vehicle over a wide speed range. Tracking quality, system stability and passenger comfort are thoroughly analyzed and compared to similar control structures. The results obtained both in simulation and with a real vehicle show that the developed strategy tracks a large number of trajectories with high degree of accuracy, safety and comfort.

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