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

被引:64
作者
Wang, Q [1 ]
Wu, N
Wang, Z
机构
[1] Natl Univ Def Technol, Artillery Acad, Dept Commun & Technol, Changsha 410112, Peoples R China
[2] Chongqing Univ, Sch Elect Engn, Chongqing 400044, Peoples R China
[3] Xian Jiao Tong Univ, Sch Elect Engn, Xian 710049, Peoples R China
基金
中国国家自然科学基金;
关键词
active power filter (APF); analog circuit; artificial neural network (ANN); detection; harmonic current;
D O I
10.1109/19.903881
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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, and so on. In this paper, first according to the adaptive noise canceling technology (ANCT) in signal processing, an adaptive detecting approach of harmonic current based on a neuron is presented. Next, 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. Third, in the light of PSPICE software, the computer simulation studies of the circuit are done. Finally, the experimental studies are carried out. The performance and feasibility of the approach are tested and verified by the simulation and the experimental results.
引用
收藏
页码:77 / 84
页数:8
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