An Extended Kalman Filter based parametric identification for a tire balancer system

Abstract

This paper presents a computational implementation of an Extended Kalman Filter in a tire balancer manufactured by a Brazilian company. The algorithm is responsible for the identification of balancer’s unknown parameters in a more robust and accurate way in comparison to the current solution. Results have shown that the proposed algorithm is able to reduce balancer’s overall error tolerance along to introducing noise’s robustness to the machine.