Title :
Real-time discrete neural identifier for a linear induction motor using a dSPACE DS1104 board
Author :
Rios, Jorge D. ; Alanis, Alma Y. ; Rivera, Jose ; Hernandez-Gonzalez, M.
Author_Institution :
Centro Univ. de Cienc. Exactas e Ingenierias, Guadalajara, Mexico
Abstract :
This paper presents a real-time discrete nonlinear neural identifier for a Linear Induction Motor (LIM). This identifier is based on a discrete-time recurrent high order neural network (RHONN) trained on-line with an extended Kalman filter (EKF)-based algorithm. A reduced order observer is used to estimate the secondary fluxes. The real-time implementation of the neural identifier is implemented by using dSPACE DS1104 controller board on MATLAB/Simulink with dSPACE RTI library and its performance is shown by graphs.
Keywords :
Kalman filters; control engineering computing; discrete time systems; linear induction motors; machine control; nonlinear control systems; observers; real-time systems; recurrent neural nets; reduced order systems; EKF-based algorithm; LIM; RHONN; dSPACE DS1104 controller board; dSPACE RTI library; discrete-time recurrent high order neural network; extended Kalman filter based algorithm; linear induction motor; real-time discrete nonlinear neural identifier; reduced order observer; Biological neural networks; Induction motors; Kalman filters; Mathematical model; Real-time systems; Training; Extended Kalman Filtering; Linear Induction Motor; Real-time Neural Identification; Recurrent High Order Neural Networks;
Conference_Titel :
Neural Networks (IJCNN), The 2013 International Joint Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4673-6128-6
DOI :
10.1109/IJCNN.2013.6707109
