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...

Full description

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