Digital Twin Model of Electric Drives Empowered by EKF.

Ebadpour, Mohsen; Jamshidi, Mohammad Behdad; Talla, Jakub; Hashemi-Dezaki, Hamed; Peroutka, Zdenek

Ebadpour, Mohsen; Jamshidi, Mohammad Behdad; Talla, Jakub; Hashemi-Dezaki, Hamed; Peroutka, Zdenek.

Afiliação

Ebadpour M; Research and Innovation Center for Electrical Engineering (RICE), Faculty of Electrical Engineering, University of West Bohemia (UWB), 30100 Pilsen, Czech Republic.
Jamshidi MB; Faculty of Electrical Engineering, University of West Bohemia (UWB), 30100 Pilsen, Czech Republic.
Talla J; Research and Innovation Center for Electrical Engineering (RICE), Faculty of Electrical Engineering, University of West Bohemia (UWB), 30100 Pilsen, Czech Republic.
Hashemi-Dezaki H; Research and Innovation Center for Electrical Engineering (RICE), Faculty of Electrical Engineering, University of West Bohemia (UWB), 30100 Pilsen, Czech Republic.
Peroutka Z; Research and Innovation Center for Electrical Engineering (RICE), Faculty of Electrical Engineering, University of West Bohemia (UWB), 30100 Pilsen, Czech Republic.

Sensors (Basel) ; 23(4)2023 Feb 10.

Article em En | MEDLINE | ID: mdl-36850601

Palavras-chave

Extended Kalman Filter (EKF); Metaverse; digital twin; induction motor (IM); sensorless control; state estimation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: República Tcheca

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