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

Öztürk, Fikri; özbek, LEVENT

doi:10.33769/aupse.809161

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

Communications Faculty of Sciences University of Ankara Series A2-A3: Physical Sciences and Engineering, cilt.63, sa.1, ss.80-92, 2021 (Hakemli Dergi)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 63 Sayı: 1
Basım Tarihi: 2021
Doi Numarası: 10.33769/aupse.809161
Dergi Adı: Communications Faculty of Sciences University of Ankara Series A2-A3: Physical Sciences and Engineering
Derginin Tarandığı İndeksler: TR DİZİN (ULAKBİM)
Sayfa Sayıları: ss.80-92
Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
Ankara Üniversitesi Adresli: Evet

Özet

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.