A Force Monitoring Method Based on Built-in Sensors for Feed System of Computer Numerical Control Machine Tools
Abstract: As force has
important influence to the performance and machining quality of machine tool
during machining process, this paper proposed a method to monitor the load
force of feed system using build-in sensor of the machine tools. To reduce the
influence of noise caused by external disturbance and difference operation, a
state observer based on Kalman filter that optimized values of force, velocity
and displacement of feed system is adopted, and gain coefficient of the
observer is obtained by recursive algorithm. To validate the effectiveness of
the method, friction force testing experiments under no-load and force testing
experiments under complex cutting conditions are performed respectively, the
results show that data obtained by the method are effective, and this method
significantly restrained the external noiseand noise caused by difference
operation. The method suits to on-line and real-time force monitoring in production
without additional sensors.
Author: Guangsheng Chen,
Qingzhen Zheng
Journal Coder: jptkomputergg160033
