Application of adaptive filtering to dynamic weighing of vehicles

This paper investigates methods and features of dynamic weighing. The approach considered here is an alternative to static weighing. A brief description of a dynamic weighing system is presented. A number of experiments on automobile and truck weighing was performed; results of some of these experiments are shown, The major part of the paper is devoted to designing the weight determination algorithms, including a simple maximum-value-detection method and several more advanced adaptive algorithms. The latter are based on system identification and extended Kalman filtering theory. Some analytic results concerning the analysis of modeling error are presented, and possible dynamic weighing applications are discussed.