Improving Efficiency of Panel Using Solar Tracker Controlled Through Fuzzy Logic
Hemant Sharma, Arti Rana, Ravindra Pratap Singh, Bhawna Goyal, Ayush Dogra, Dawa Chyophel Lepcha
Abstract
In this research, application of fuzzy logic as an intelligent quality strategy for controlling a two-axis sun tracking solar energy system. Solar panels are most effective when oriented perpendicular to the sun's journey across the sky. The two-axis sun tracking solar energy technology relies on software for its architecture. In this research, a method for optimizing the output power of a solar panel in a photovoltaic system by using a combination of two fuzzy controllers, one for tracking the sun and one for finding the point of optimum power production is applied. Using two strategically placed DC motors, the solar panels' horizontal and vertical orientations may be adjusted to follow the sun throughout the day. To obtain the maximum power output of the solar panels, a DC-DC converter is used. Resultantly, the proposed system uses innovative fuzzy logic to maximize total output by making the most of both the amount of photovoltaic energy consumed and the duration of time during which solar energy is available.