| Title |
Development of Neural Network Controller for Maximum Power Point Tracking of PV System |
| Authors |
Jae-Sub Ko ; Jung-Sik Choi ; Dong-Hwa Chung |
| Keywords |
PV System ; Neural Network ; MPPT ; DC-DC Converter |
| Abstract |
This paper presents an Neural Network(NN) controller for Maximum Power Point Tracking (MPPT) of PV supplied DC motor. A variation of solar irradiation is most important factor in the MPPT of PV system That is nonlinear, aperiodic and complicated. NN was widely used due to easily solving a complex math problem. Proposed photovoltaic system consists of NN, DC-DC converter, DC motor and load(cf, pump). NN algorithm apply to DC-DC converter through an Adaptive control of Neural Network, calculates Converter-Chopping ratio using an Adaptive control of NN. The results of an Adaptive control of NN compared with the results of Converter-Chopping ratio which are calculated mathematical modeling and evaluate the proposed algorithm The experimental data show that an adequacy of the algorithm was established through the compared data. |