DocumentCode :
1442251
Title :
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
Link To Document :
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