DocumentCode
2711580
Title
Neural network identification of a double fed induction generator prototype
Author
Sanchez, E.N. ; Loukianov, A.G. ; Ruiz, R.
Author_Institution
Cinvestav, Zapopan, Mexico
fYear
2009
fDate
14-19 June 2009
Firstpage
2778
Lastpage
2783
Abstract
This paper presents neuronal network identification of a double fed induction generator, based on a discrete-time high order neuronal network (RHONN), which is trained with an extended Kalman filter (EFK) algorithm. The neuronal identification performance is illustrated via simulations.
Keywords
Kalman filters; asynchronous generators; discrete time systems; identification; machine control; neurocontrollers; nonlinear systems; state-space methods; a double fed induction generator; discrete-time high order neuronal network; extended Kalman filter; neural network identification; state space variables; Biological neural networks; Control system synthesis; Induction generators; Iron; Neural networks; Neurons; Nonlinear systems; Prototypes; Recurrent neural networks; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location
Atlanta, GA
ISSN
1098-7576
Print_ISBN
978-1-4244-3548-7
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2009.5178894
Filename
5178894
Link To Document