Title :
Nonlinear speed control of a dc motor drive system with online trained recurrent neural network
Author :
Nouri, Khaled ; Dhaouadi, Rached ; Braiek, Naceur Benhadj
Author_Institution :
Laboratoire d´´ Etude et Commande Autom. de Processus, Ecole Polytech de Tunisie, La Marsa
Abstract :
A nonlinear speed drive system with online trained recurrent neural network is proposed. The recurrent neural network is trained first off-line to learn the inverse dynamics of the dc motor drive system. The direct adaptive control approach with a model following controller is performed next to adjust the network weights using the decoupled extended Kalman filter algorithm. The experimental results obtained verify the effectiveness of the proposed control method and its robustness to external disturbances
Keywords :
DC motor drives; Kalman filters; adaptive control; angular velocity control; machine control; nonlinear control systems; power engineering computing; recurrent neural nets; dc motor drive system; decoupled extended Kalman filter algorithm; direct adaptive control approach; inverse dynamics; nonlinear speed control; online trained recurrent neural network; Adaptive control; Control systems; DC motors; Motor drives; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Recurrent neural networks; Robust control; Velocity control;
Conference_Titel :
Advanced Motion Control, 2006. 9th IEEE International Workshop on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-9511-1
DOI :
10.1109/AMC.2006.1631746
