A FUZZY ALGORITHM BASED MPPT CONTROL FOR SEPIC CONVERTER WITH SLIDING MODE CONTROL
Author’s Name : D Vel murugan | Arun P Babu | Sandeep Prasanth S | Thiyagaraja perumal | A Dineshkumar
Volume 02 Issue 01 Year 2015 ISSN No: 2349-2503 Page no: 10-13
Abstract – This work proposes a fuzzy algorithm based on both the Voltage-current characteristic of a photovoltaic (PV) panel and the sliding-mode control of the input inductor current of an associated converter is investigated in a static application. A single ended primary inductance converter (SEPIC) converter charging a battery from a PV generator illustrates the procedure whose effectiveness is proved with experimental results. To Design and develop a simulation and hardware implementation of intelligent control based maximum power point tracking using SEPIC converter. Voltage from PV is insufficient for the grid system, so the DC-DC boost converter is required for the design to step-up and regulates the PV voltage controlled using fuzzy logic controller. The fuzzy logic controller works towards minimizing the error between Vref and the measured voltage by varying the duty cycle through the switch. A maximum power point tracker (MPPT) is used for extracting the maximum power from the solar PV module and transferring that power to the load. The proposed system is simulated under MATLAB environment using Simulink.
Keywords –DC-DC Converter, SEPIC Converter, MPPT, Photo Voltaic Systems, Fuzzy Logic, Boost Converter, Buck Converter