移动机器人的增强纯追求路径跟踪算法由NSGA-II优化,具有高精度GNSS导航
Xiongwen Jiang1, Taiga Kuroiwa1, Yu Cao2
1Division of Electronics and Informatics, Gunma University, Kiryu 376-0052, Japan.
Sensors (Basel, Switzerland)
|February 13, 2025
概括
这项研究引入了一种改进的纯追求算法,用于移动机器人导航,提高了路径跟踪的准确性. 优化的算法显著减少了姿势错误,改善了在真实世界条件下的整体导航性能.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 自动化和智能系统
- 导航和控制 导航和控制
背景情况:
- 准确的导航对于自动化系统中的移动机器人至关重要.
- 现有的路径跟踪算法可能无法完全考虑动态机器人的特性.
- 高精度的全球导航卫星系统 (GNSS) 对于精确的机器人定位至关重要.
研究的目的:
- 为移动机器人提出一个增强的纯追求路径跟踪算法.
- 使用NSGA-II (非主导排序遗传算法II) 优化算法以提高性能.
- 通过考虑机器人动态和现实世界操作条件来提高路径跟踪的准确性.
主要方法:
- 开发一个增强的纯追求算法.
- 使用NSGA-II.II的算法优化.
- 与高精度GNSS集成,以提供准确的定位.
- 在不同的操作参数下进行实验验证.
主要成果:
- 改进的算法显著减少了平均绝对姿势错误 (APE).
- 观察到APE减少了14.63%,前距离为0.5,速度为3.
- 在4.0的速度下,APE进一步减少了55.94%.
- 在路径偏差减少和导航性能方面显著改善.
结论:
- 提议的增强纯追踪算法有效地提高了移动机器人的路径跟踪精度.
- 在NSGA-II优化和考虑动态特征导致优越的导航性能.
- 这种算法为复杂环境中精确的移动机器人导航提供了强大的解决方案.
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