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...
المؤلفون الرئيسيون: | Bravo Montenegro, Diego Alberto, Rengifo, Carlos Felipe, Giron, Cristian, Palechor, Jhon |
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التنسيق: | Online |
اللغة: | spa |
منشور في: |
Universidad Pedagógica y Tecnológica de Colombia
2021
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الموضوعات: | |
الوصول للمادة أونلاين: | https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/11779 |
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