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

Year 2021, Volume: 63 Issue: 1, 80 - 92, 30.06.2021

Fikri Öztürk Levent Özbek

https://doi.org/10.33769/aupse.809161

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.

Keywords

Noninear state-space models, extended Kalman filter, nonlinear estimation

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