A neural networks-based method for single-phase harmonic content identification
| Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
|---|---|
| Data(s) |
27/05/2014
27/05/2014
01/12/2008
|
| Resumo |
A neural method is presented in this paper to identify the harmonic components of an ac controller. The components are identified by analyzing the single-phase current waveform. The method effectiveness is verified by applying it to an active power filter (APF) model dedicated to the selective harmonic compensation. Simulation results using theoretical and experimental data are presented to validate the proposed approach. © 2008 IEEE. |
| Formato |
2690-2695 |
| Identificador |
http://dx.doi.org/10.1109/IECON.2008.4758383 Proceedings - 34th Annual Conference of the IEEE Industrial Electronics Society, IECON 2008, p. 2690-2695. 1553-572X http://hdl.handle.net/11449/70670 10.1109/IECON.2008.4758383 WOS:000266229301211 2-s2.0-63149119263 |
| Idioma(s) |
eng |
| Relação |
Proceedings - 34th Annual Conference of the IEEE Industrial Electronics Society, IECON 2008 |
| Direitos |
closedAccess |
| Palavras-Chave | #Active filters #Electric filters #Harmonic analysis #Industrial electronics #Active power filters #Experimental datum #Harmonic components #Harmonic contents #Phase currents #Selective harmonic compensations #Simulation results #Neural networks |
| Tipo |
info:eu-repo/semantics/conferencePaper |
