ANN-Fuzzy Logic Control based Real-Time MPPT Control of PV Modules

摘要

This paper deals with artificial neural networkud(ANN) and fuzzy logic based real-time maximum power pointudtracking (MPPT) control of PV modules. ANN is utilized touddetermine the estimated optimum voltage of the PV moduleudbased on the input of open circuit voltage and cell temperature.udThe fuzzy logic controller using polar information developsudcontrol signal in real-time to keep the dc side voltage of PVudmodule to its estimated optimum one. Development of real-timeudsimulator for the MPPT control of PV modules is alsoudpresented. The real-time simulator is very helpful to trackuddown the MPPT on different types of PV modules, even withoutudhaving the PV modules hardware. Verification through theudreal-time simulator shows that the proposed controller canudrespond accurately to any environmental variation in PVudmodule.