Control technology of parallel active filter based on p-q theory and filtering technology of RBF neural network

This paper mainly aims at the control strategy of parallel active filter, an analytical method is proposed to make the filtering technology based on RBF neural network combine with p-q theory. The simulation example proves this method is feasible for controlling in parallel active filter. Because of...

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Bibliographic Details
Main Authors: Wang Zhanshan, Zhao Yongbin, Zhang Enlin, Lun Shuxian
Format: Conference Proceeding
Language:English
Subjects:
Active filter
Active filters
Biological neural networks
Educational institutions
Harmonic analysis
Instantaneous power
Power harmonic filters
RBF neural network
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Summary:This paper mainly aims at the control strategy of parallel active filter, an analytical method is proposed to make the filtering technology based on RBF neural network combine with p-q theory. The simulation example proves this method is feasible for controlling in parallel active filter. Because of this method is efficient and easily realized, it provides some new approaches to design parallel active filter.
ISSN:1948-9439
1948-9447
DOI:10.1109/CCDC.2012.6244301