关键词: 临界状态, 数控机床, 模糊有限状态机, 遗传算法, 信息物理系统, 数字孪生

Abstract: To synchronize the processing states from a Computer Numerical Control (CNC) machine entity to its counterpart,a modelling method based on Fuzzy Finite State Machine (FFSM) was proposed.The model established by this method was able to quantify the critical attributes of the tool through "state superposition" mechanism for predicting its future states based on prior knowledge.A detailed discussion on modelling steps,parameter optimization and prediction mechanism was expounded,which analyzed the state transition rules and input variables qualitatively,designed a quantitative optimization method based on genetic algorithm for model parameters and revealed the prediction mechanism of tools in steady and critical states respectively.The experiment results showed that the prediction errors of the proposed model was less than the errors of the low-order Linear Autoregressive Model (LAM) within a certain prediction steps,and that the model had the ability to predict machine state continuously.

Key words: critical state, computer numerical control machine tools, fuzzy finite state machine, genetic algorithms, cyber-physical systems, digital twin