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 Compression Tops controlled (CNC) machines.Several works highlight the necessity of measuring jerk in a reliable way for improving production processes.Nowadays, the computation 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 produced by a Nyquist-rate Blush Palette differentiator.Simulations and experimental results are presented to show the overall methodology performance.