New Approaches for High Speed and Accurate Weight Measurements

摘要

Accurate and fast weighing is an important requirement throughout the modern world. The application of an object to a weighing platform results in a transient output waveform, which can take a considerable time to settle sufficiently before the object can be accurately measured or predicted. In this study, an improved method is investigated based on the Gauss-Newton method of the Non-Linear Regression (NLR) in which a time-domain model is fitted to displacement data from a weighing platform. The applied mass is accurately predicted in the early part of the transient response for different cases. Simulations confirm that the various modeling, identification and prediction approaches are successful over a wide range of applied masses and noise amplitudes. Comparisons with previously known dynamic weighing methods show signal that significant speed and accuracy advantages can be obtained.