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Grey System Theory Modeling for Nonlinear, Dynamic Machine Tool Thermal Error

机译:非线性动态机床热误差的灰色系统理论建模

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摘要

To accommodate the nonlinear and dynamic nature of thermal elastic process, Grey System Theory (GST) is adopted. By using this theory, GM (2, 1) and GM (1, 4) models are constructed. Real cutting experiment on a turning machine is conducted to establish and validate the model performance in terms of generalization ability. The comparison indicates that GM (2, 1) and GM (1,4) perform better than other static and dynamic models such as Back Propagation Neural Network (BP) and Auto-regression Moving Average (ARMA). In addition, each of the two proposed model has their own advantages and they can be applied in practice.
机译:为了适应热弹性过程的非线性和动态性质,采用了灰色系统理论(GST)。利用这一理论,构建了GM(2,1)和GM(1,4)模型。在车床上进行了真实的切削实验,以建立和验证模型的泛化能力。比较表明,GM(2,1)和GM(1,4)的性能优于其他静态和动态模型,例如,反向传播神经网络(BP)和自回归移动平均值(ARMA)。此外,两个提议的模型中的每一个都有各自的优势,并且可以在实践中应用。

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