KOR

e-Article

Sun Position Tracking of Solar Panel
Document Type
Conference
Source
2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), 2024 Third International Conference on. :1-6 Mar, 2024
Subject
Components, Circuits, Devices and Systems
Computing and Processing
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Costs
Tracking
Signal processing algorithms
Solar energy
Signal processing
Sensor systems
Sensors
Solar panel
LDR
servo motor
low cost
Language
Abstract
The goal of this project is to use a servo motor to design and build a solar panel sun position tracking system. Because the solar panel is currently set in place, it is less effective at capturing solar energy. To solve this problem, a solar tracker is suggested, which uses a servo motor to modify the solar panel's position in response to the sun's varying positions during the day. By accurately tracking the sun's position extraction and improving the overall performance of the solar panel. Additionally, the system incorporates Light Dependent Resistor (LDR) sensors to detect the intensity of sunlight. These sensors provide real-time feedback on the brightness of the surrounding environment, allowing the solar tracker to make precise adjustments to the panel's position. By combining the servo motor's movement with the LDR sensor data, the system ensures that the solar panel maintains an optimal alignment with the sun's rays, maximizing the amount of solar energy captured. This integration of servo motors and LDR sensors results in an efficient and accurate sun-tracking system for enhanced solar power generation. The sun position tracking system uses LDR sensors to measure sunlight intensity and provide feedback. It Adjusts the solar panel's alignment, optimizing energy absorption. The system combines LDR sensors and servo motor control for efficient and automated sun tracking, Enhancing solar energy utilization [1], [13].