关键词: 热误差, 多元回归模型, 自回归分布滞后模型, 高次多阶自回归分布滞后模型

Abstract:

Based on the synthesis of the fuzzy clustering and gray relational theory, the temperature sensors for monitoring CNC machine tools were optimized. According to the commonly used multiple regression model,this paper used ADL model to model the thermal error of CNC machine tools. On the basis of better accuracy, we expanded the ADL model and proposed a new high order and multi-level ADL modeling technique, also, analysed its modeling method and accuracy. It shows that the high order and multi-level ADL model has better accuracy in the thermal error compensation of CNC machine tools by the examples presented herein.

Key words: thermal error, multiple regression model, autoregressive distributed lag(ADL) model, high order and multi-level autoregressive distributed lag model