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...
主要な著者: | Bravo Montenegro, Diego Alberto, Rengifo, Carlos Felipe, Giron, Cristian, Palechor, Jhon |
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フォーマット: | Online |
言語: | spa |
出版事項: |
Universidad Pedagógica y Tecnológica de Colombia
2021
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主題: | |
オンライン・アクセス: | https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/11779 |
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