SIMULATION OF A DUAL AXIS SOLAR TRACKER FOR ENHANCED ENERGY CAPTURE
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Abstract
This project focuses on the simulation of a dual axis solar tracker to enhance solar energy harvesting. Traditional fixed solar panels suffer from inefficiencies due to the sun’s movement, limiting their ability to capture maximum solar radiation. The dual axis solar tracker is optimized effectively to rotate both horizontally (azimuth) and vertically (elevation) allowing it to follow the sun’s path throughout the day and across seasons thereby enhancing energy absorption and improving photovoltaic (PV) system efficiency.
A simulation-based approach was employed using MATLAB/Simulink to model the system’s dynamic response. Key components include a PID controller for optimized system response, virtual sensors mimicking sunlight detection and motors for precise motion control. The performance of the dual axis tracker was analyzed to determine efficiency improvements. The study also explores optimal control strategies, actuator dynamics and environmental adaptability.
A simulation-based approach was employed using MATLAB/Simulink to model the system’s dynamic response. Key components include a PID controller for optimized system response, virtual sensors mimicking sunlight detection and motors for precise motion control. The performance of the dual axis tracker was analyzed to determine efficiency improvements. The study also explores optimal control strategies, actuator dynamics and environmental adaptability.
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co-supervisor