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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書誌詳細

主要な著者:	Bravo Montenegro, Diego Alberto, Rengifo, Carlos Felipe, Giron, Cristian, Palechor, Jhon
フォーマット:	Online
言語:	spa
出版事項:	Universidad Pedagógica y Tecnológica de Colombia 2021
主題:	Identificación, Modelo Dinámico, Filtro de Kalman, Mínimos Cuadrados Recursivos. Identification, Dynamic Model, Kalman Filter, Recursive least squares.
オンライン･アクセス:	https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/11779