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 (TRDizin)
- 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.