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对于具有五进制多项式的自动驾驶汽车,先进的轨迹规划和控制
Ma Jin1,2, Mingcheng Qu1,2, Qingyang Gao3
1Faculty of Computing, Harbin Institute of Technology, Harbin 150040, China.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
本研究提出了一种用于设计智能汽车轨迹和控制系统的五项多项式方法. 该方法确保了顺的路径,并通过实验验证证明了有效的车辆跟踪性能.
科学领域:
- 机器人技术和自主系统
- 控制工程 控制工程 控制工程
- 计算几何学的计算几何学
背景情况:
- 智能汽车需要精确的轨道规划和控制,以确保安全高效的运行.
- 确保顺的轨迹连续性和准确的状态跟踪对于自主导航至关重要.
- 现有的方法在处理动态环境和复杂的机动方面可能面临挑战.
研究的目的:
- 为智能汽车设计和实施一个强大的轨迹生成和控制系统.
- 为了确保车辆状态曲线 (位置,速度,加速度) 在轨道执行期间的顺连续性.
- 通过在物理平台上的实验测试来验证拟议的控制框架.
主要方法:
- 利用五项多项式来生成平滑和连续的车辆轨迹.
- 开发了基于两度自由度动态模型的横向和纵向控制器.
- 在控制器设计和错误建模中使用Frenet坐标系转换.
- 使用具有阿克曼方向盘的小型智能车辆进行实验验证.
主要成果:
- 第五个多项式的方法成功地产生了光滑和连续的轨迹.
- 开发的控制器有效地调节了车辆跟踪性能.
- 实验结果证实了控制器在各种操作条件下的有效性.
- 该研究表明了综合轨迹和控制框架的可行性.
结论:
- 提出的基于五项多项式的轨迹规划和控制系统对智能汽车是有效的.
- 该方法确保了顺的状态转换和准确的路径跟踪.
- 实验验证证证实了该方法的实际适用性和稳定性.
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