Integrating Simulink and Arduino for Optimized Solar Tracking Systems: A Methodological Approach for Enhanced Renewable Energy Utilization

Abstract

This research offers a complete approach to integrating Simulink and Arduino in the context of solar tracking systems. The methodology encompasses several systematic steps that seek to achieve precise orientation of solar panels and efficient energy capture. Commencing from data acquisition in real time involving measurement of azimuth and elevation angles by sensors, it proceeds to develop a Simulink model, including solar position algorithms. This model produces reference signals for a Proportional-Integral (PI) controller, which directs the positioning of solar panels. By integrating with an Arduino microcontroller, it becomes possible to achieve accurate motor control, thus allowing continual adjustment of panel orientation according to signals generated by Simulink. In addition, equations for torque calculation and motor control are used to effect proper alignment with the sun's trajectory.Moreover, this methodology also addresses how cleaning mechanisms such as air blowers or water sprayers can be integrated to maintain optimal panel efficiency.To evaluate the effectiveness of an integrated system, thorough testing and validation, including simulating Simulink and real-world experimentations, are done.Continuous optimization efforts seek to improve tracking accuracy, energy efficiency, and cleaning performance step-by-step. This methodology, on the whole, is helpful as it offers systematic steps to develop and optimize solar tracking systems and provides direction for using Simulink/Arduino to enhance renewable energy utilization.