可重新配置的模型集群用于可扩展的料驱动动力学建模
Mohammadmahdi Mehrabi1, Keivan Ahmadi2
1Department of Mechanical Engineering, University of Victoria, Victoria, V8W 2Y2, Canada.
Scientific reports
|July 4, 2025
概括
本研究引入了一种新的方法,用于模拟机床料驱动器,使用预校准模型和贝叶斯选择. 这种方法简化和扩展了机床数字双胞胎和影子的创建.
科学领域:
- 机械工程 机械工程
- 控制系统工程 控制系统工程
- 计算机建模 计算建模
背景情况:
- 精确建模机床料驱动器对于性能优化和预测性维护至关重要.
- 传统方法需要广泛的单个机器校准,阻碍了可扩展性.
- 对数字双胞胎和影子的日益增长的需求需要更高效的建模技术.
研究的目的:
- 开发一种新的,可扩展的方法来建模机床料驱动动力学.
- 为了减少在开发数字双胞胎和影子时对单个机器校准的需求.
- 利用贝叶斯模型选择来准确地表示机器行为.
主要方法:
- 使用一组预校准模型,用于类似机器或不同条件的机队.
- 应用贝叶斯模型选择来将内部控制器信号同化到模型集群中.
- 选择了最佳的模型组合,以准确地代表单个机器.
主要成果:
- 通过数值模拟与已知的基本事实来证明方法的有效性.
- 展示了显著简化和扩展料驱动模型的潜力.
- 确定了实际实施的关键技术和运营考虑因素.
结论:
- 拟议的方法提供了一个简化和可扩展的解决方案,用于机床的料驱动模拟.
- 便于大规模开发的机床数字双胞胎和影子没有广泛的校准.
- 通过概述必要的技术和操作考虑,为更广泛的应用提供了基础.
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