Solar Tracker System for PV Module

Abstract

The project proposes FPGA implementation of a novel approach to track maximum power point of solar photovoltaic array and a novel approach to track the solar position and find a suitable position to attain more energy in comparison with those in a fixed position. The approach uses Kalman Filter algorithm to track maximum power point, motor position and piston position. The finite state machine is Melay type and includes five states. Using the proposed technique, the MPPT can be tracked up to the efficiency of 97% within a time of about 4.5ms. The position of PV array is tracked to an error of ±2%mostly. Experiments have been carried out in partially shaded, falling irradiance level conditions. The proposed method is simple and cost effective in comparison to systems using GPS to track the position.