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...
Hlavní autoři: | Bravo Montenegro, Diego Alberto, Rengifo, Carlos Felipe, Giron, Cristian, Palechor, Jhon |
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Médium: | Online |
Jazyk: | spa |
Vydáno: |
Universidad Pedagógica y Tecnológica de Colombia
2021
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Témata: | |
On-line přístup: | https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/11779 |
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