| |
Neural Networks Application to control an Active Power Filter
| [View]
[Download]
|
| Author(s) |
J. R. Vázquez, P. R. Salmerón; F. J. Alcántara |
| Abstract |
In this paper, a new method to control an active power filter using Neural Networks is presented.
Currently, there is an increase of voltage and current harmonics in power systems, caused by nonlinear
loads. The Active Power Filters (APFs) are used to compensate the generated harmonics and to
correct the load power factor. The proposed control design is a Pulse Width Modulation (PWM)
control with two blocks that include Neural Networks. Adaptive networks estimate the reference
compensation currents. On the other hand, a multilayer feedforward network (trained by a
backpropagation algorithm) that works as hysteresis band comparator is used. A practical case with
Matlab-Simulink is presented to check the proposed control performance. |
| Download |
| Filename: | EPE2001 - PP00355 - Vázquez.pdf |
| Filesize: | 125.2 KB |
|
| Type |
Members Only |
| Date |
Last modified 2004-03-10 by System |
| |
 |