T-S fuzzy model based Maximum Power Point Tracking control of photovoltaic system

This work aims at building a robust controller using Maximum Power Point Tracking (MPPT) strategy for a solar power generation system by implementing Takagi-Sugeno (T-S) Fuzzy model of the power system. A Dc-Dc buck converter is used to control the power output from the Photovoltaic (PV) Array. We propose a method to design a state feedback controller to regulate power output by controlling the duty cycle of the converter while maintaining the system Lyapunov stable. Both Fixed gain and variable gain state feedback controllers are compared for the purpose of stability. In addition, a tracking controller is designed which searches for Maximum Power Point (MPP) to optimize systems performance without actually calculating the MPP or measuring the solar radiation. The controller is also robust to disturbances in atmospheric conditions. The proposed system is found to be extremely efficient even in rapidly changing weather conditions. The system is found to reach optimal operation point within few milliseconds. The stability analysis is shown wherever appropriate. All the results are shown in the form of simulations.