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Real-time torque control for a DC motor using recurrent high order neural networks

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4 Author(s)
Carlos E. Castaneda ; Universidad de Guadalajara, Centro Universitario de los Lagos, Av. Enrique Díaz de León 1144 Col. Paseos de la Montaña, Lagos de Moreno, Jalisco, México ; Edgar N. Sanchez ; Alexander G. Loukianov ; Bernardino Castillo-Toledo

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.

Published in:

2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)

Date of Conference:

8-10 July 2009