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...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/15303
- Acceso en línea:
- https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/11779
https://repositorio.uptc.edu.co/handle/001/15303
- Palabra clave:
- Identificación, Modelo Dinámico, Filtro de Kalman, Mínimos Cuadrados Recursivos.
Identification, Dynamic Model, Kalman Filter, Recursive least squares.
- Rights
- License
- Derechos de autor 2021 CIENCIA EN DESARROLLO