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논문 기본 정보

자료유형
학술저널
저자정보
V.Suresh Kumar (Thiagarajar College of Engineering) D.Kavitha K.Kalaiselvi (Sethu Institute of Technology) P.S.Kannan
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.3 No.4
발행연도
2008.12
수록면
520 - 527 (8page)

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초록· 키워드

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This work focuses on the evaluation of active power filter which is controlled by fuzzy logic and neural network based controller for harmonic mitigation and power factor enhancement. The APF consists of a variable DC voltage source and a DCI AC inverter. The task of an APF is to make the line current waveform as close as possible to a sinusoid in phase with the line voltage by injecting the compensation current. The compensation current is estimated using adaptive neural network. Using the estimated current, the proposed APF is controlled using neural network and fuzzy logic. Computer simulations of the proposed APF are performed using MATLAB. The results show that the proposed techniques for the evaluation of APF can reduce the total harmonic distortion less than 3% and improve the power factor of the system to almost unity.

목차

Abstract
1. Introduction
2. AI Based Active Power Filter
3. Fuzzy model of APF
4. Neural Network Controlled APF
5. Fuzzy Logic and Neural Network based APF : A Comparison
6. Conclusion
References

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