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

Authors :: ÖZTÜRK, Fikri
ÖZBEK, Levent
Source :: Volume: 63, Issue: 1 80-92, Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering
Publication Year :: 2020
Publisher :: Ankara Üniversitesi, 2020.
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.

Subjects :: Noninear state-space models,extended Kalman filter,nonlinear estimation
Engineering
Mühendislik

Language :: English
ISSN :: 13036009 and 26186462
Database :: OpenAIRE
Journal :: Volume: 63, Issue: 1 80-92, Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering
Accession number :: edsair.tubitakulakb..935f4f8520814508234db1471c98ca60

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