A neuron adaptive detecting approach of harmonic current for APF and its realization of analog circuit

Author

Wang, Qun ; Wu, Ning ; Wang, Zhaoan

Author_Institution

Dept. of Commun. & Technol., Nat. Defense Technol., Changsha, China

Volume

50

Issue

1

fYear

2001

fDate

2/1/2001 12:00:00 AM

Firstpage

77

Lastpage

84

Abstract

There have been a number of harmonic current detecting methods for the active power filter (APF), including the filtration approach by fixed frequency filters, the composition method of the imaginary and the real power based on the instantaneous reactive power theory, etc. In this paper, firstly, according to the adaptive noise canceling technology in signal processing, an adaptive detecting approach of harmonic current based on a neuron is presented. Then, on the basis of the configuration and learning algorithm for the developed system, the realization scheme of an analog circuit of the system is discussed. Thirdly, using PSPICE software, computer simulation studies of the circuit are performed. Finally, experimental studies are carried out. The performance and feasibility of the approach are tested and verified by the simulation and experimental results

Keywords

SPICE; active filters; adaptive filters; circuit simulation; learning (artificial intelligence); neural chips; power engineering computing; power harmonic filters; PSPICE; active power filter; adaptive filter; adaptive noise cancelling technology; analog circuit realization; computer simulation; delta learning rule; harmonic current detection; learning algorithm; neuron adaptive detecting approach; Active filters; Circuit noise; Filtering theory; Filtration; Frequency; Neurons; Power harmonic filters; Power system harmonics; Reactive power; Signal processing algorithms;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.903881

Filename

903881