| |
Implementation Of An On-Line Learning Speed Controller For A Switched Reluctance Machine
| [View]
[Download]
|
| Author(s) |
Silviano Rafael, A. J. Pires, P. J. Costa Branco |
| Abstract |
In the classical speed control of electrical machines it
is usual to have linear PID controllers. This kind of controllers
can present good results near a given operating point, where the
machine may be considered as a linear system. However, the
classical PID controller may have some limitations if it is planed
to be used in a wide working region. In this case a good
alternative can be the learning controllers using fuzzy logic and
neural networks.
In this paper it is presented and mainly discussed a neuro-fuzzy
learning controller for speed regulation of an 8/6 Switched
Reluctance Machine. Experimental results are presented and
discussed showing how the controller can learn in real time the
“good” rules. The results obtained with a classical PID
controller are shown as a reference speed controller for the
analysis. |
| Download |
| Filename: | A52551 |
| Filesize: | 147.9 KB |
|
| Type |
Members Only |
| Date |
Last modified 2006-02-16 by System |
| |
 |