Predictive transient-following control of shunt and series active power filters

A novel technique is presented for generation of a contemporary estimate of the fundamental component of the distorted input current or voltage to an uncontrolled three-phase bridge rectifier with a DC link smoothing filter. This allows for accurate calculation of cancellation references for series...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on power electronics 2002-07, Vol.17 (4), p.574-584
Main Authors: Marks, J.H., Green, T.C.
Format: Article
Language:English
Subjects:
Active control
Active filters
Artificial neural networks
Bridge circuits
Bypasses
Control systems
DC generators
Electric potential
Electronics
Filtering
Filtration
Learning theory
Neural networks
Power harmonic filters
Predictions
Rectifiers
Shunts
Smoothing methods
Steady-state
Voltage
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A novel technique is presented for generation of a contemporary estimate of the fundamental component of the distorted input current or voltage to an uncontrolled three-phase bridge rectifier with a DC link smoothing filter. This allows for accurate calculation of cancellation references for series and shunt active power filters (APF) operating under steady-state and transient conditions. Improved transient performance allows for reduction of the power rating and control system bandwidth of an APF. An artificial neural network (ANN) predictor has been used to directly calculate the mean dq-axis input to the rectifier without filtering. This is a critical stage in separating harmonic distortion from fundamental current or voltage. The technique is developed using simulation data for both series and shunt APFs and validated with experimental results. The predictive harmonic identifier shows good steady-state performance and excellent transient performance that far exceeds that of a conventional identifier using time-domain or frequency-domain filtering.
ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2002.800970