Atıf İçin Kopyala
Zerdali E., Yildiz R., Inan R., Demir R., Barut M.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, cilt.31, sa.1, 2021 (SCI-Expanded)
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Yayın Türü:
Makale / Tam Makale
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Cilt numarası:
31
Sayı:
1
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Basım Tarihi:
2021
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Doi Numarası:
10.1002/2050-7038.12684
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Dergi Adı:
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
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Derginin Tarandığı İndeksler:
Science Citation Index Expanded (SCI-EXPANDED), Scopus
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Anahtar Kelimeler:
adaptive fading extended Kalman filter, induction motor, parameter estimation, speed‐, sensorless control, state estimation, SENSORLESS CONTROL, STABILITY, DRIVES
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Kayseri Üniversitesi Adresli:
Hayır
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).