在分布式动力学变化中SyncLMKD的建模,评估和指标性能
Fabiano Stingelin Cardoso1,2, Tacildo de Souza Araújo3, Ronnier Frates Rohrich4
1Department of Information Systems, Federal Institute of Paraná (IFPR), Ivaiporã, 86870-000, Brazil. fabiano.cardoso@ifpr.edu.br.
Scientific reports
|January 3, 2025
概括
记录平均动力学差异同步 (SyncLMKD) 精确地测量数字双胞胎的动力学变化,使移动机器人运动同步,计算成本低. 这种方法提高了数字双胞胎的准确性和机器人协调.
科学领域:
- 机器人和自动化机器人与自动化
- 数字双胞胎技术的数字双胞胎技术
- 控制系统工程 控制系统工程
背景情况:
- 数字双胞胎 (DT) 对于建模物理实体至关重要,将物理和数字领域连接起来.
- 在DTs中准确的表示对于功能服务和解决现实世界的干扰至关重要.
- 现有的方法在测量复杂的DT系统中的动力学变化时可能缺乏精度.
研究的目的:
- 引入一种新的方法,即Log Mean Kinematics Difference Synchronization (SyncLMKD),用于测量数字双胞胎元素中的运动变化.
- 为了确保数字双胞胎组件相对于参考点之间的对称动力学值.
- 在数字双胞胎框架内开发和验证移动机器人实体的同步技术.
主要方法:
- SyncLMKD方法使用了吸收推理,灵感来自于日志平均温度差 (LMTD).
- 它根据移动机器人实体在基于位移的DT表示中量化了移动机器人实体之间的动态变化.
- 一种补充的同步技术被开发和应用在实验验证中.
主要成果:
- SyncLMKD方法在位移测量中实现了高精度,报告的精度为[公式:参见文本].
- 它证明了对手之间的距离和数字双胞胎中的动态目标之间的可预测性.
- 同步技术促进了机器人对手的同步移动,速度调整为150-200%.
结论:
- SyncLMKD提供了一种精确且计算效率高的方法来测量数字双胞胎中的动态变化.
- 该方法使移动机器人实体的精确同步成为可能,提高了DT的性能.
- 这项研究为提高数字生应用程序的可靠性和功能提供了有价值的工具.
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