Switched Reluctance Machine fuzzy modeling applied on a MRAC scheme

Arnaldo Matute; Julio Viola; José Restrepo; José Manuel Aller; Flavio Quizhpi

doi:10.1109/LASCAS.2015.7250442

Switched Reluctance Machine fuzzy modeling applied on a MRAC scheme

Arnaldo Matute
, Julio Viola
, José Restrepo
, José Manuel Aller
, Flavio Quizhpi

Grupo de Investigación en Energías (GIE)

Producción científica: Contribución a una conferencia › Documento

Resumen

© 2015 IEEE. This paper proposes an approach for modeling a Switched Reluctance Machine with fuzzy logic. The proposed model is verified under a Model Reference Adaptive Control scheme. Calculating Fuzzy Inference Systems instead of the nonlinear terms of state equations decreases the model complexity and computing costs, which is important for the MRAC scheme, and provides a mathematical model for adaptive control. Amodel architecture is presented where linear equations interact with a Fuzzy Inference System. An angular speed control experiment was successfully simulated using the resulting fuzzy model as reference.

Idioma original	Inglés
DOI	https://doi.org/10.1109/LASCAS.2015.7250442
Estado	Publicada - 1 ene. 2015
Evento	2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings - Duración: 1 ene. 2015 → …

Conferencia

Conferencia	2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings
Período	1/01/15 → …

Areas de Conocimiento del CACES

317A Electricidad y energía

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10.1109/LASCAS.2015.7250442

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