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

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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Bibliographic Details
Main Authors: Bravo Montenegro, Diego Alberto, Rengifo, Carlos Felipe, Giron, Cristian, Palechor, Jhon
Format: Online
Language:spa
Published: Universidad Pedagógica y Tecnológica de Colombia 2021
Subjects:
Identificación, Modelo Dinámico, Filtro de Kalman, Mínimos Cuadrados Recursivos.
Identification, Dynamic Model, Kalman Filter, Recursive least squares.
Online Access:https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/11779

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