Double soft-computing techniques based triple functionalities for Shunt Active Power Filter with voltage source inverter topology

Firstly, a unified adaptive linear neurons based fundamental component extraction algorithm for dual roles is developed; to generate and synchronize a reference current with respect to the phase and the frequency of supply voltage. A modified method of extracting the final amplitude of the reference...

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Bibliographic Details
Published in:2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings
Main Author: Rahman N.F.A.A.; Radzi M.A.M.; Che Soh A.; Mariun N.; Rahim N.A.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2015
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84943188895&doi=10.1109%2fEEEIC.2015.7165266&partnerID=40&md5=9caa41b1595b5b3dac03603071d9def5
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Summary:Firstly, a unified adaptive linear neurons based fundamental component extraction algorithm for dual roles is developed; to generate and synchronize a reference current with respect to the phase and the frequency of supply voltage. A modified method of extracting the final amplitude of the reference current is introduced for improving the quality of the reference current. Second, a hybrid Fuzzy-Proportional (P) controller plus Crisp-Integral (I) controller is designed for a self-charging DC-link voltage control algorithm. The proposed controller is utilized in minimizing the error of DC-link voltage and, its control signal is employed in calculating a reference charging current. The Fuzzy-P controller exhibits simple structure for low computational burden and memory requirement. While, the Crisp-I controller is used to eliminate the steady-state error of DC-link voltage. Performances of the SAPF with the proposed techniques are validated by simulation and experimental works. © 2015 IEEE.
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DOI:10.1109/EEEIC.2015.7165266