A study on non-linear discrete-time state-space models and adaptive extended Kalman filter application on oscillatıon of an object tied to the end of spring-Reference-Cited by-同舟云学术

A study on non-linear discrete-time state-space models and adaptive extended Kalman filter application on oscillatıon of an object tied to the end of spring

Published:2021-06-30 Issue:1 Volume:63 Page:80-92
ISSN:1303-6009
Container-title:Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering
language:en
Short-container-title:Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng.

Author:

ÖZTÜRK Fikri¹^ORCID,ÖZBEK Levent¹^ORCID

Affiliation:

1. ANKARA UNIVERSITY

Abstract

In this work, Adaptive Extended Kalman Filter (AEKF) is introduced and its use for oscillation of an object connected to the end of a spring is shown. As a new approach, an AEKF is used as a nonlinear estimation tool for online estimation of the states and parameters of an oscillating object attached to the end of a spring model. Parameter states that do not change with time were examined. The simulation results revealed that with proper selection of initial values of AEKF, AEKF is a very useful tool for this particular application.

Publisher

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering

Subject

General Medicine

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