전력전자학회논문지 (The Transactions of the Korean Institute of Power Electronics)

  • 제18권4호
  • /
  • Pages.349-358
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  • 2013
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  • 1229-2214(pISSN)
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  • 2288-6281(eISSN)
전력전자학회 (The Korean Institute of Power Electronics)
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태양광 배터리 충전기를 위한 적응형 신경회로망-퍼지로직 기반의 센서리스 MPPT 제어

A Sensorless MPPT Control Using an Adaptive Neuro-Fuzzy Logic for PV Battery Chargers

  • Kim, Jung-Hyun (Dept. of Electrical and Computer Eng., Ajou University) ;
  • Kim, Gwang-Seob (Dept. of Electrical and Computer Eng., Ajou University) ;
  • Lee, Kyo-Beum (Dept. of Electrical and Computer Eng., Ajou University)
  • 투고 : 2013.02.20
  • 심사 : 2013.04.10
  • 발행 : 2013.08.20
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초록

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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참고문헌

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피인용 문헌

  1. Torque Ripple Minimization for Switched Reluctance Motors Using a Fuzzy Logic and Sliding Mode Control vol.63, pp.10, 2014, https://doi.org/10.5370/KIEE.2014.63.10.1384