Eventos Anais de eventos
COBEM 2019
25th International Congress of Mechanical Engineering
Force Estimation Using the Augmented Kalman Filter Algorithm
Submission Author:
Leandro Augusto Martins , MG , Brazil
Co-Authors:
Leandro Augusto Martins, Aldemir Ap Cavalini Jr, Valder Steffen Jr, Fabian Andres Lara-Molina, Ricardo Álvarez, Leopoldo de Oliveira
Presenter: Leandro Augusto Martins
doi://10.26678/ABCM.COBEM2019.COB2019-0681
Abstract
In several engineering applications, the knowledge of state variables and input forces are necessary to predict the dynamic behavior of mechanical systems. However, in real applications, it is often difficult to measure directly the physical quantities associated with the state variables and input forces. The Augmented Kalman Filter algorithm can be applied to overcome this limitation. In this approach, the unknown forces are included in the state vector of the system allowing the estimation of input forces and states, simultaneously. For this aim, a reduced number of measurements is used. In the present contribution, the Augmented Kalman Filter algorithm is applied to a multi-degree-of-freedom (multi-DoF) mass-spring-damper system. The numerical results show that the states, as well as find a set of input forces compatible, can be satisfactorily estimated using a reduced number of measurements
Keywords
Augmented Kalman Filter Algorithm, Reduced Number of Measurements
