Comparison of frequency and time domain neural network controllers for an active power filter

Simon D. Round, Ned Mohan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

Abstract

Active power filters compensate for harmonic distortion created by nonlinear loads. Compensation may not be complete due to errors or other system influences. A neural network active filter controller is discussed in this paper which learns to improve the compensation of the harmonic distortion. The aim of the controller is to reduce either the amount of utility current or voltage harmonic distortion. A comparison between frequency and time domain neural network controllers based on steady state and transient performance is considered. Improvements in the transient response can be made by using a neural network and a traditional active filter controller combination. The hardware and software requirements of implementing the time and frequency domain neural network controllers are also discussed.

Original languageEnglish (US)
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
Editors Anon
PublisherPubl by IEEE
Pages1099-1104
Number of pages6
ISBN (Print)0780308913
StatePublished - 1993
EventProceedings of the 19th International Conference on Industrial Electronics, Control and Instrumentation - Maui, Hawaii, USA
Duration: Nov 15 1993Nov 18 1993

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2

Other

OtherProceedings of the 19th International Conference on Industrial Electronics, Control and Instrumentation
CityMaui, Hawaii, USA
Period11/15/9311/18/93

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