Title :
Real-time torque control for a DC motor using recurrent high order neural networks
Author :
Castaneda, Carlos E. ; Sanchez, Edgar N. ; Loukianov, Alexander G. ; Castillo-Toledo, Bernardino
Author_Institution :
Centro Univ. de los Lagos, Univ. de Guadalajara, Lagos de Moreno, Mexico
Abstract :
This paper presents a discrete-time direct current (DC) motor torque tracking controller, based on a recurrent high order neural network (RHONN) to identify the plant model. Using this model, a control law is derived, which combines block control and sliding modes techniques. The applicability of the scheme is illustrated via real time implementation for a DC motor with separate winding excitation.
Keywords :
DC motors; discrete time systems; machine control; neurocontrollers; position control; recurrent neural nets; torque control; variable structure systems; DC motor; block control; discrete-time direct current motor torque tracking controller; recurrent high order neural networks; sliding modes techniques; DC motors; Electromagnetic forces; Neural networks; Nonlinear control systems; Recurrent neural networks; Sliding mode control; Stator windings; Torque control; Trajectory; Voltage control;
Conference_Titel :
Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
Conference_Location :
Saint Petersburg
Print_ISBN :
978-1-4244-4601-8
Electronic_ISBN :
978-1-4244-4602-5
DOI :
10.1109/CCA.2009.5280996
