Novel Oversampling Technique for Improving Signal-to-Quantization Noise Ratio on Accelerometer-Based Smart Jerk Sensors in CNC Applications

Novel Oversampling Technique for Improving Signal-to-Quantization Noise Ratio on Accelerometer-Based Smart Jerk Sensors in CNC Applications

Blog Article

Jerk monitoring, defined as the first derivative of acceleration, has become a major issue in computerized numeric controlled (CNC) machines.Several works highlight the necessity of measuring jerk in a reliable way for improving production processes.Nowadays, the computation Lower Firmware of jerk is done by finite differences of the acceleration signal, computed at the Nyquist rate, which leads to low signal-to-quantization noise ratio (SQNR) during the estimation.The novelty of this work is the development of a smart sensor for jerk monitoring from a standard accelerometer, which has improved SQNR.

The proposal is based on oversampling techniques that give a better estimation of jerk than that Bar Stool produced by a Nyquist-rate differentiator.Simulations and experimental results are presented to show the overall methodology performance.