A4 Conference proceedings

New Weighted Adaptive Unscented Kalman Filter for Estimation of Hydraulic Systems


Publication Details
Authors: Mohammadi Asl Reza, Handroos Heikki
Publication year: 2018
Language: English
Title of parent publication: 2018 Global Fluid Power Society PhD Symposium (GFPS)
ISBN: 978-1-5386-4786-8
eISBN: 978-1-5386-4785-1
JUFO-Level of this publication: 1
Open Access: Not an Open Access publication

Abstract

In this paper, a new weighted adaptive unscented
Kalman filter is introduced. The proposed filter is trying to improve the performance of the previous versions. To have better
results, it uses the previous estimation parameters to update
itself. The proposed Kalman filter is applied to estimate the states
of the nonlinear systems under time varying noise with time
varying statistics. A hydraulic system, as a nonlinear system,
is used as an application for the simulation. The results of the
simulation are given.


Last updated on 2019-11-10 at 10:18