Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CCA.2009.5280996 | CCA) & Intelligent Control, |
Keywords | Field | DocType |
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 | Control theory,Torque,Computer science,Control theory,Direct torque control,Recurrent neural network,Control engineering,DC motor,Artificial neural network,Machine control,Sliding mode control | Conference |
ISSN | ISBN | Citations |
1085-1992 | 978-1-4244-4602-5 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos E. Castañeda | 1 | 23 | 4.19 |
| Sanchez, Edgar N. | 2 | 78 | 9.09 |
| Loukianov, Alexander G. | 3 | 30 | 10.04 |
| Castillo-Toledo, Bernardino | 4 | 12 | 1.58 |