2002
DOI: 10.1109/mper.2002.4312237
|View full text |Cite
|
Sign up to set email alerts
|

IEEE-519-Based Real-Time and Optimal Control of Active Filters under Nonsinusoidal Line Voltages Using Neural Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
7
0

Year Published

2015
2015
2018
2018

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(7 citation statements)
references
References 0 publications
0
7
0
Order By: Relevance
“…The NAF is a basic adaptive structure that can be used to extract the desired sinusoidal component of a given periodic signal by tracking its frequency variations. Advanced signal processing methods in both time-and frequency-domains have been developed in the past [7]. Frequency-domain approaches are Fast Fourier Transform (FFT) and Discrete Fourier Transform (DFT) techniques.…”
Section: Introductionmentioning
confidence: 99%
“…The NAF is a basic adaptive structure that can be used to extract the desired sinusoidal component of a given periodic signal by tracking its frequency variations. Advanced signal processing methods in both time-and frequency-domains have been developed in the past [7]. Frequency-domain approaches are Fast Fourier Transform (FFT) and Discrete Fourier Transform (DFT) techniques.…”
Section: Introductionmentioning
confidence: 99%
“…Without an accurate current reference, SAPFs may actually inject more harmonics than they mitigate [5][6][7][8][9][10][11][12]. Specifically, U.S. Navy ship power generators experience a significant amount of voltage distortion.…”
Section: Introductionmentioning
confidence: 99%
“…These harmonics in the current reference cause the SAPF to inject more distortions into the line current. In this instance, it is possible for the SAPF to create harmonics in addition to the load, thus making Total Harmonic Distortion (THD) worse than if there were no SAPF [5][6][7][8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations