Improved speed and load torque estimations with adaptive fading extended Kalman filter

Makaleler > Tam Makale · 2020

Yazarlar: Emrah ZERDALİ, Recep Yildiz, Remzi Inan, Ridvan Demir, Murat Barut

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, SCI Expanded İndekslerine Giren Dergi, Uluslararası, 2020, cilt 31

DOI: 10.1002/2050-7038.12684

Özet

Background Extended Kalman filter (EKF) is one of the most preferred observers for state and parameter estimation of induction motor. To achieve optimal estimations, EKFs require a stochastic system with complete dynamic or measurement equation. However, those equations are partially known in practice and may vary depending on operating conditions, leading to a degradation in the estimation performance of conventional EKFs (CEKFs).

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