Identification of a synchronous generator parameters using recursive least squares and Kalman filter

The comparison between recursive least squares (RLS) and Kalman filter (KF) is presented in this paper, both methods were adequate to estimate six parameters of a synchronous machine. The work focused on finding the operating conditions which the quality of the identification achieved with Kalman fi...

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Detalles Bibliográficos

Autores principales:	Bravo Montenegro, Diego Alberto, Rengifo, Carlos Felipe, Giron, Cristian, Palechor, Jhon
Formato:	Online
Lenguaje:	spa
Publicado:	Universidad Pedagógica y Tecnológica de Colombia 2021
Materias:	Identificación, Modelo Dinámico, Filtro de Kalman, Mínimos Cuadrados Recursivos. Identification, Dynamic Model, Kalman Filter, Recursive least squares.
Acceso en línea:	https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/11779