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[Domestic Journals] Jung-Hyun Kim, Gwang-Seob Kim, and Kyo-Beum Lee, "A Sensorless MPPT Control Using an Adaptive Neuro-Fuzzy Logic for PV Battery Chargers," The Transactions of the Korean Institute of Power Electronics, vol. 18, no. 4, pp. 349–358, Aug. 2013.

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  • 날짜 2019-06-26 14:38
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In this paper, the sensorless MPPT algorithm is proposed where the performance of varied duty ratio change has been improved using

multi-layer neuro-fuzzy that aligns with neuro-fuzzy based optimized membership function. Since the change of duty ratio of sensorless

MPPT is varied by using the neuro-fuzzy, the MPPT response speed is faster than the convectional method and is able to reduce the

steady-state ripple. The neuro fuzzy controller has the response characteristics which is superior to the existing fuzzy controller, because

of the usage of the optimal width of the fuzzy membership function. The effectiveness of the proposed method has been verified by

simulations and experimental results.

 
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