MPPT of Solar Energy Generating System with Fuzzy Control and Artificial Neural Network

摘要

In order to achieve maximum power of solar cell, we focus on the maximum power point tracking (MPPT) algorithm forming based on fuzzy control. The fuzzy control rules are adopted using artificial neural network with measured data. Compared the fuzzy inference systems (FISs) with the ideal FISs, there is only less than 2% of error of signal output. The simulation conclusions show the performance of MPPT algorithm becomes much precise and active with the help of fuzzy control and artificial neural network.