在各种路面摩擦和速度下,自动驾驶汽车的自适应性避免碰撞策略
Jinlei Wang1, Guoming Huang2, Xiaofang Yuan1
1College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China.
ISA transactions
|September 7, 2023
概括
本研究介绍了自动驾驶汽车 (AV) 面临挑战性的道路条件的自适应性避免碰撞策略 (ACAS). 该ACAS通过改进逃避机动和在各种表面上转向能力来提高AV安全性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 汽车工程 汽车工程
- 控制系统 控制系统
背景情况:
- 在各种道路摩擦和速度条件下,自动驾驶汽车 (AV) 努力避免紧急碰撞.
- 严重的低转向可能会阻碍自动驾驶汽车避免碰撞的能力,即使有主动安全系统.
研究的目的:
- 为在各种道路摩擦和速度条件下运行的自动驾驶汽车提出适应性避免碰撞策略 (ACAS).
- 在紧急情况下提高自动驾驶汽车的安全性和机动性.
主要方法:
- 开发了一种适应性参考路径规划方法,以优化基于道路摩擦的避开速度和路径.
- 设计了一个基于预测的模糊控制器,用于准确跟踪所需的逃避速度.
- 实施了一种新的转增强方法,使用直接转控制器和扭矩分布.
主要成果:
- 拟议的ACAS在模拟中证明了AV车辆在避免碰撞方面的改进能力.
- 适应性路径规划减少了AV的转向负担.
- 改进的转控制提高了AV在关键场景中的机动性.
结论:
- 适应性避免碰撞策略 (ACAS) 有效地解决了在各种道路条件下对自动驾驶汽车紧急避免碰撞的挑战.
- 通过自适应路径规划,预测速度控制和增强转的综合方法,可显著提高AV安全性和性能.
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