Discrete-time adaptive neural backstepping control for a double fed induction generator

Author

Ruiz, R. ; Sanchez, E.N. ; Loukianov, A.G.

Author_Institution

CINVESTAV-IPN, Zapopan, Mexico

fYear

2009

fDate

10-13 Jan. 2009

Firstpage

1

Lastpage

5

Abstract

This paper presents a discrete-time adaptive neural backstepping control for a double fed induction generator connected to an infinity bus, based on a discrete-time high order neural network (HONN), which is trained with an extended Kalman filter (EFK) algorithm. The discrete-time adaptive neural backstepping control performance is illustrated via simulations.

Keywords

Kalman filters; adaptive control; asynchronous generators; discrete time systems; learning (artificial intelligence); machine control; neurocontrollers; power control; adaptive control; discrete time control; double fed induction generator; extended Kalman filter; high order neural network; infinity bus; neural backstepping control; Adaptive control; Backstepping; Electric variables control; Induction generators; Mechanical variables control; Neural networks; Programmable control; Reactive power control; Sliding mode control; Stators; Adaptive Backstepping; Double Fed Induction Generator; Kalman Filter; Neural Networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering, Computing Science and Automatic Control,CCE,2009 6th International Conference on

Conference_Location

Toluca

Print_ISBN

978-1-4244-4688-9

Electronic_ISBN

978-1-4244-4689-6

Type

conf

DOI

10.1109/ICEEE.2009.5393372

Filename

5393372