无人驾驶地面车辆的坚固而精确的导航和避开障碍
Iván González-Hernández1, Jonathan Flores1, Sergio Salazar1
1Program of Aerial and Submarine Autonomous Navigation Systems, Department of Research and Multidisciplinary Studies, Center for Research and Advanced Studies, Mexico City 07360, Mexico.
Sensors (Basel, Switzerland)
|July 30, 2025
概括
本研究引入了无人地面车辆的简化滑动模式控制,使其能够实现强大的自主导航和避开障碍物. 实时编程的可行性和稳定性通过模拟和实验测试来证明.
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
- 人工智能的人工智能
背景情况:
- 地面车辆的自主导航系统在实时避难障碍方面面临着挑战.
- 强大的控制策略对于在动态环境中可靠运行至关重要.
研究的目的:
- 为无人地面车辆提供自主导航和避开障碍的强有力的控制战略.
- 确保实时编程可行性和系统稳定性.
主要方法:
- 实施了一种简化的二级滑动模式控制算法.
- 利用冗余的惯性传感器,全球定位系统和LiDAR传感器来获取数据.
- 应用莱普诺夫的第二方法来证明系统的稳定性.
主要成果:
- 控制算法成功地避免了滑动表面的导数,提高了实时适用性.
- 数字模拟验证了拟议的控制策略的稳定性.
- 户外实验测试验证了自主导航系统的实际性能.
结论:
- 简化的二级滑动模式控制为自主地面车辆导航提供了强大而可行的解决方案.
- 开发的战略有效地解决了在现实世界的场景中避免障碍的挑战.
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