Design of a Fuzzy Logic Controller for DC Converter of a Stand-Alone PV System Based on Maximum Power Point Tracking

PV installations and systems running under variable irradiation and temperature in addition to variable load conditions, produce a variance in its output voltage, resulting in control challenges. The use of a DC converter ensures that the output voltage of such systems remains constant regardless of changes in the production voltage and load. The design of a maximum power point tracking-based (MPPT) DC converter controller for such a system is presented in this study. MPPT-based Fuzzy Logic Controller (MFLC) has been implemented to the system converter as a proposed control approach. Incremental Conductance (IC) algorithm has been employed as an MPPT algorithm in association with fuzzy logic controller. Using the MATLAB/Simulink environment, the PV system with the loaded converter is modelled and simulated. Under various disturbances and operating conditions, the system performance is represented by a family of curves.