Name
Title | ||
|---|---|---|
Real-time output trajectory tracking neural sliding mode controller for induction motors |
Abstract | ||
|---|---|---|
This paper deals with real-time discrete adaptive output trajectory tracking for induction motors in the presence of bounded disturbances. A recurrent high order neural network structure is used to design a nonlinear observer and based on this model, a discrete-time control law is derived, which combines discrete-time block control and sliding modes techniques. Applicability of the scheme is illustrated via experimental results in real-time for a three phase induction motor. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.jfranklin.2013.05.018 | Journal of the Franklin Institute |
Field | DocType | Volume |
Control theory,Induction motor,Control theory,Nonlinear observer,Control engineering,Artificial neural network,Trajectory,Mathematics,Bounded function | Journal | 351 |
Issue | ISSN | Citations |
4 | 0016-0032 | 4 |
PageRank | References | Authors |
0.45 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alma Y. Alanis | 1 | 149 | 34.50 |
| Edgar N. Sanchez | 2 | 645 | 85.49 |
| Alexander G. Loukianov | 3 | 316 | 47.55 |