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基于模型预测控制的自动驾驶汽车的避免碰撞路径规划和跟踪控制
Ding Dong1, Hongtao Ye1,2, Wenguang Luo1,2
1School of Automation, Guangxi University of Science and Technology, Liuzhou 545036, China.
Sensors (Basel, Switzerland)
|August 29, 2024
概括
自动驾驶汽车现在可以使用新型模型预测控制 (MPC) 方法积极避免障碍. 这种先进的系统结合了制动和转向,可以安全避免碰撞,即使在高速时也是如此.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 汽车工程 汽车工程
背景情况:
- 自动驾驶汽车需要除了紧急制动之外的先进系统来避开障碍物.
- 高速场景为减轻碰撞带来了独特的挑战.
研究的目的:
- 为自动驾驶汽车使用模型预测控制 (MPC) 提出一种主动避免碰撞的方法.
- 整合轨迹跟踪,自适应巡航控制 (ACC) 和主动转向以实现全面的安全.
主要方法:
- 设计了一个基于MPC的轨迹跟踪控制器,使用车辆动态模型.
- 开发了MPC-ACC联合控制,以制动为基础,避免碰撞.
- 创建了基于安全距离模型的积极方向盘,以避免碰撞.
- 实现了一个非线性模型预测控制 (NMPC) 路径规划控制器.
- 利用交替方向乘法 (ADMM) 来优化解决方案过程.
主要成果:
- 拟议的方法通过协调制动和转向有效地实现避免碰撞.
- 在高速转向机动中表现出稳定性和强度,以避开障碍物.
- 在Simulink和CarSim共模拟平台上与静态和动态障碍物进行了验证.
结论:
- 开发的算法成功使自动驾驶汽车能够积极避开障碍物.
- 该系统确保车辆在避开障碍物后返回预定的路径,证实了算法的有效性.
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