Fuzzy Logic-Based Maximum Power Point Tracking of Solar PV System

In this modern era the use of Solar energy is increasing day by day. Keeping in mind the needs of the future demand of Solar energy, it is very essential for us to get maximum power tracking point in order to utilize Solar energy properly. So, in this thesis work, we proposed a Fuzzy Logic Controller system to tracking maximum power point. This system is utilized to get Maximum Point in a PV array. It is the most suitable way for the human decision-making mechanism, providing the operation and showing every step on the basis of Boolean logic system. This technique contacts about on the artificial intelligence with the help of membership function which is inspired on the basis of human perception. We knew that there are some techniques to find the maximum power point, but our proposed system has better effectiveness among these techniques. In this work, we compared with classical PI, PD, PID, FPID controllers and also compared performance analysis with INC and P&O method of maximum power point technique. In our study, a Boost converter is used with fuzzy sets method. In our proposed system, we also showed how to design a fuzzy system combining with boost converter and find maximum power of a PV array on fixed temperature and fixed irradiance. At finally we get a result, that the fuzzy controller performs quite well to track solar MPPT over P&O and INC method and others controllers.