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在UGV中量化轨迹跟踪精度:在Wi-Fi启用时间敏感网络中交通调度的作用
Elena Ferrari1, Alberto Morato2, Federico Tramarin1,3
1Department of Information Engineering, University of Padova, 35131 Padova, Italy.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
无人地面车辆的准确轨迹跟踪依赖于无线时间敏感网络 (WTSN) 的精确调度. 这项研究表明,正确配置流量调度和时间同步对于可靠的性能至关重要.
科学领域:
- 机器人和自动化机器人与自动化
- 无线网络无线网络.
- 控制系统工程 控制系统工程
背景情况:
- 准确的轨迹跟踪对于自动驾驶系统中的无人地面车辆 (UGV) 是必不可少的.
- 无线时间敏感网络 (WTSN) 依赖于确定性数据包传输,流量调度和时间同步来实现可靠的运行.
- 根据IEEE 802.1Qbv的时间感知流量调度影响了Wi-Fi TSN网络的轨迹准确性.
研究的目的:
- 量化IEEE 802.1Qbv交通调度对UGV轨迹跟踪精度的影响.
- 分析错误配置的实时 (RT) 和最佳努力 (BE) 窗口以及时钟错位如何影响数据包接收和控制.
- 为可靠的数据包传输提供一个尺寸RT和BE窗口的框架.
主要方法:
- 开发了一个数学框架,根据网络参数和同步偏移来预测实时数据包接收.
- 通过在ROS-Gazebo环境中进行广泛的模拟来验证模型.
- 利用基于Linux的流量塑造和调度工具来实现现实的网络仿真.
主要成果:
- 错误的交通调度和同步偏移显著降低了UGV轨迹跟踪的准确性.
- 正确尺寸的调度窗口可以确保可靠的数据包传输和稳定的控制,即使同步不完美.
- 该研究表明了网络配置和机器人系统性能之间的关键相互作用.
结论:
- 在移动机器人技术中配置无线TSN网络实时轨迹跟踪的实用设计指南.
- 强调精确的交通安排和时间同步对自动驾驶系统的重要性.
- 提供了一种先验测量调度窗口的方法,以确保系统可靠性.
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