Optimization of photovoltaic System using Mamdani and Takagi Sugeno MPPT Controls

This paper presents a comparative study between two types of maximum power point tracking (MPPT) commands: the artificial Fuzzy Logic (FL) based on Mamdani and Takagi Sugeno methods and the classical Perturb and Observ (P&O) command commonly used to track maximum power point for photovoltaic (PV) systems. The simulation of PV system, including a typical photovoltaic panel connected to a resistive load through a DC-DC boost converter and controlled by the proposed MPPT commands, is performed in Matlab/ Simulink environment for sudden change in irradiation level and constant temperature. The main results of simulation show that the suggested Fuzzy Logic MPPT commands (Mamdani and Takagi Sugeno) perform better than the classical P&O command. Indeed, the comparison of different performance parameters, such as: PV-system efficiency and response time to reach the MPP, show that Fuzzy Logic controller efficiency is about 99.84% for FL of Mamdani type and 99.83 % for FL-Takagi Seguno method. Also, it shows lower response time (21 ms) to track the MPP for rapid change in irradiation level compared to the conventional P&O method with 99.58 % in efficiency and 28 ms for response time. Furthermore, the proposed Fuzzy Logic (Mamdani and Takagi Sugeno) command reduces the oscillations obtained by the conventional P&O method and converges rapidly to Maximum power point.