Switched Reluctance Machine fuzzy modeling applied on a MRAC scheme

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

Research output: Contribution to conferencePaper


© 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.


Conference2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings
Period1/01/15 → …


Dive into the research topics of 'Switched Reluctance Machine fuzzy modeling applied on a MRAC scheme'. Together they form a unique fingerprint.

Cite this