Error correction using fuzzy logic in vehicle load measurement

Abstract

In vehicle load measurement, there is an accuracy problem caused by variations in the measuring condition, sensor characteristics, and so on. The problem can be explained by changes of loading states with a diversity of uncertainties. In this study, we consider an in-vehicle-type load indicator and propose an error correction technique to compensate the error contained in the load measurement, by using fuzzy logic for dealing with changes in the loading states with a diversity of uncertainties.