Eventos Anais de eventos
DINAME 2023
XIX International Symposium on Dynamic Problems of Mechanics
Application of Kalman Filter as a Method to Balance Rotors without Trial Masses
Submission Author:
Fabio Dalmazzo Sanches , RN
Co-Authors:
Fabio Dalmazzo Sanches
Presenter: Fabio Dalmazzo Sanches
doi://10.26678/ABCM.DINAME2023.DIN2023-0038
Abstract
This paper focuses on an ancient problem in rotating machines: unbalance. The presence of rotor mass imbalance is due to eccentricity of the mass centroidal axis of the rotor relative to its axis of rotation and is a result of unavoidable imperfections in rotor manufacture and assembly. To produce a smooth-running machine, procedures to balance the rotor must be employed. Kalman filtering is an algorithm that provides estimates of some unknown variables given the measurements observed over time and it was originally formulated to estimate the states of a dynamic system. The augmented Kalman (AKF) filter includes the inputs (forces) as variables to be determine together with the states. This paper studies the feasibility of AKF to estimate the unbalance forces and, consequently, be a procedure to balance a rotating machine, since no trial masses are required. The studies are performed theoretically considering different unbalance configurations and considering noise in the rotor responses. The methodology proved to be efficient to estimate the unbalance forces and some care must be taken when experimental tests are carried out, as noise has been shown to be an important aspect for the accuracy of the method.
Keywords
balancing, Kalman Filter, Rotor Dynamics
