Research on the self-excitation and identification method of modal parameter of feed system of numerical control machine tool

To implement the modal test conveniently in industry scene, a self-excitation and identification method is proposed following built-in sensor signal test technology and autoregressive moving average model (ARMA) parameter identification. The vibration of feed system is evoked by the planning the trajectory of motion using small step G code programming method, the response information is contained in the built in signal, and ARMA serves to identify parameter based on the response signal. The experiment results show that the proposed method simplifies the experiment process, reduces the sensor layout restrictions, and identifies the first modal frequency accurately.