MULTI-ENCODER BASED CUTTING FORCE ESTIMATION APPLYING KALMAN-FILTER FOR MACHINE TOOLS WITH MULTI-INERTIA SYSTEM

抄録

In recent years, sensorless cutting force estimation technology for process monitoring in real time has been attracting attention against the background of Industry 4.0. Sensorless cutting force estimation by a disturbance observer is effective for monitoring machining conditions. However, extension to a dual-inertial system is a practical limit. Therefore, in this research, a Kalman-filter based cutting force estimation methodology from the encoder information is proposed applying the modal parameters identified through actual machining. From the result of cutting tests, it was verified that the proposed method can more accurately estimate the cutting force with a machine tool having multi-inertia dynamic system.