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 : Fikri ÖZTÜRK, Levent ÖZBEK

Pages : 80-92

Doi:10.33769/aupse.809161

View : 9 | Download : 19

Publication Date : 2021-06-30

Article Type : Research Paper

Abstract :In this work, Adaptive Extended Kalman Filter insert ignore into journalissuearticles values(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