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基于混合机制数据的数控机床输入系统的数字双胞胎构造方法
Ruiqi Zhao1, Hua Huang2, Le Mei1
1School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.
Scientific reports
|September 1, 2025
概括
这项研究引入了CNC机床料系统的混合数字双胞胎 (DT) 框架. 它显著提高了模拟精度和实时同步,提高了精确制造.
科学领域:
- 制造工程
- 控制系统
- 数字双胞胎技术
背景情况:
- 传统的CNC机床料系统模型具有较低的模拟精度和有限的通用性.
- 简化过程复制和严格的优化方法阻碍了性能.
- 现有模型在实时适应性参数更新方面存在困难.
研究的目的:
- 提出一个新的混合机制数据驱动的数字双胞胎 (DT) 建模框架.
- 提高数控机床料系统模拟的准确性和通用性.
- 为实现精密制造的实时DT同步.
主要方法:
- 开发了一种非线性合特性方法,将模糊比例积分 (PI) 控制与机械系统动力学相结合.
- 为机制模型补偿构建了一个WOA-CNN-LSTM-Attention算法.
- 实施了在线识别系统,使用递归最小方程与参数收的忘记因子.
主要成果:
- 与使用模糊PI控制方法的传统模型相比,最大误差降低了32.79%.
- 通过WOA-CNN-LSTM-Attention算法将实验最大误差从0.0576mm降至0.0121mm.
- 实现了实时DT同步的快速参数融合 (简单的0.005s,复杂的0.01s).
结论:
- 拟议的混合DT框架为建立稳定和高效的DT系统提供了系统解决方案.
- 集成基于数据的方法和先进的算法显著提高了模拟的准确性.
- 这种框架可实现实时同步,对于先进的精密制造应用至关重要.
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