| Title |
A Sensorless MPPT Control Using an Adaptive Neuro-Fuzzy Logic for PV Battery Chargers |
| Authors |
Jung-Hyun Kim ; Gwang-Seob Kim ; Kyo-Beum Lee |
| DOI |
10.6113/TKPE/2013.18.4.349 |
| Keywords |
photovoltaic (PV); neuro-fuzzy; sensorless; maximum power point tracking (MPPT); battery charger; renewable energy; variable step size |
| Abstract |
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. |