REAL-TIME IMPLEMENTATION OF A PSO- OPTIMIZED FUZZY LOGIC CONTROLLER BASED ON A MPPT ALGORITHM USING DSPACE BOARD

Abstract

The aim of this work is to demonstrate the usefulness of Particle Swarm Optimization (PSO) for tracking Maximum Power Point (MPP) in stand-alone photovoltaic system. Maximum Power Point Tracking (MPPT) is one of approaches which boost efficiency of Photovoltaic (PV) cells by the load matching between the PV cells and the load. The idea is to optimize and implement a Fuzzy Logic Controller (FLC) based on a maximum power point tracking method for a PV system.. A hardware prototype of the maximum power point tracking controller was also implemented using a dSPACE DS1104 digital signal processor (DSP) based real-time data acquisition control (DAC) system. The digital experimental results confirm the accuracy of the adopted control strategy as well as the better tracking efficiency and rapid response under all weather conditions.