Review on Design and Implementation of Dual Axis Solar Tracker Using Arduino

International Research Journal of Engineering and Technology (IRJET)

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Review on Design and Implementation of Dual Axis Solar Tracker Using Arduino Pooja Masaji Kamble1, Prof. S.S. Kamble2 1M. Tech Student, Department of Electrical Engineering, PES College of Engineering, Nagsenvana, Chhatrapati

Sambhaji Nagar (Aurangabad) Maharashtra, India

2Professor, Department of Electrical Engineering, PES College of Engineering, Nagsenvana, Chhatrapati Sambhaji

Nagar (Aurangabad) Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - The growing demand for renewable energy

critical challenge, primarily due to the varying position of the sun throughout the day and across different seasons.

solutions has intensified the need for efficient solar power generation systems. Conventional fixed solar panels are limited in their ability to capture maximum sunlight throughout the day due to the continuous movement of the sun. This study presents the design and implementation of a dual axis solar tracking system using an Arduino-based control mechanism to enhance energy harvesting efficiency.

The proposed system employs light-dependent resistors (LDRs) to detect the intensity of sunlight and dynamically adjust the position of the solar panel along both horizontal and vertical axes. Servo motors are integrated to provide precise movement, ensuring optimal alignment with the sun at all times.

The Arduino microcontroller processes real-time sensor data and generates control signals to drive the motors accordingly.

Compared to single-axis and stationary systems, the dual axis tracker significantly improves solar energy capture by maintaining perpendicular alignment to sunlight throughout the day and across seasons. The system is designed to be costeffective, energy-efficient, and easy to implement, making it suitable for both small-scale and large-scale applications.

Experimental results demonstrate a noticeable increase in power output and overall system efficiency. This research highlights the potential of embedded systems and automation in advancing solar energy technologies, contributing to sustainable energy solutions and reducing dependency on conventional power sources.

In conventional solar energy systems, photovoltaic (PV) panels are typically installed at a fixed tilt angle. While such installations are simple and cost-effective, they are inherently inefficient in capturing maximum solar radiation.

This is because the angle of incidence between sunlight and the panel surface continuously changes as the sun moves across the sky. As a result, fixed solar panels can only operate at peak efficiency for a limited period during the day, leading to significant energy losses over time.

To address this limitation, solar tracking systems have been developed to dynamically adjust the orientation of solar panels in accordance with the sun's movement. These systems ensure that sunlight strikes the panel surface at an optimal angle, thereby maximizing energy absorption. Solar trackers can be broadly classified into single-axis and dual axis systems. Single-axis trackers follow the sun in one direction, typically from east to west, improving energy efficiency compared to fixed systems. However, they fail to account for the seasonal variation in the sun's elevation angle.

Dual axis solar tracking systems, on the other hand, provide a more advanced and efficient solution by enabling movement along two axes: horizontal (azimuth) and vertical (elevation). This dual movement allows the solar panel to maintain a nearly perpendicular orientation to sunlight throughout the day and year, significantly enhancing energy capture. As a result, dual axis trackers can achieve considerably higher efficiency compared to both fixed and single-axis systems, making them highly suitable for applications where maximum energy output is desired.

Key Words: Arduino Microcontroller, LDR, Single-axis, Dual Axis Tracker, Stationary System, Energy-Efficient, Embedded System, Automation, Solar Energy Technology, Sunlight.

1. INTRODUCTION The increasing global demand for energy, coupled with the rapid depletion of conventional fossil fuel resources, has driven significant attention toward renewable energy systems. Among various renewable sources, solar energy stands out as one of the most abundant, sustainable, and environmentally friendly options. It is freely available, nonpolluting, and capable of meeting a substantial portion of the world's energy requirements. However, despite its vast potential, the efficiency of solar energy systems remains a

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With the advancement of embedded systems and microcontroller technologies, the implementation of solar tracking systems has become more accessible and costeffective. In this context, the use of Arduino as a control unit has gained widespread popularity due to its simplicity, flexibility, and affordability. Arduino-based systems enable real-time data processing and precise control of actuators, making them ideal for automation applications such as solar tracking.

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 13 Issue: 04 | Apr 2026

p-ISSN: 2395-0072

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The design and implementation of a dual axis solar tracker using Arduino typically involve the integration of light sensors, such as Light Dependent Resistors (LDRs), to detect the intensity of sunlight from different directions. These sensors provide input signals to the Arduino microcontroller, which processes the data and determines the optimal direction for panel movement. Based on this analysis, the controller sends commands to servo or DC motors, which adjust the panel's position accordingly. This continuous feedback mechanism ensures that the panel remains aligned with the sun, thereby maximizing energy generation efficiency.

to align the panel, resulting in improved energy efficiency compared to static systems.

Subsequent research focused on enhancing system accuracy using light-dependent resistors (LDRs). A study on Arduinobased dual-axis tracking systems demonstrated that LDR sensors could effectively detect variations in light intensity and guide the panel accordingly. The integration of stepper motors enabled precise control over azimuth and elevation angles, thereby optimizing solar radiation capture throughout the day. Experimental results showed that such systems could increase power output by approximately 30 35% compared to fixed installations.

In addition to improving efficiency, Arduino-based dual axis solar trackers offer several practical advantages, including ease of programming, low power consumption, scalability, and adaptability to various environmental conditions. These features make them suitable for a wide range of applications, from small-scale residential systems to large-scale solar farms. Furthermore, the integration of such systems contributes to the broader goal of sustainable development by promoting the use of clean energy technologies and reducing dependence on non-renewable resources.

Further advancements introduced cost-effective designs to make solar tracking systems more accessible. In 2021, a lowcost Arduino-based dual-axis tracker was developed to address the high implementation cost of solar tracking technologies. The study emphasized that although trackers improve efficiency, their adoption is often limited due to additional hardware and maintenance costs. The proposed system utilized affordable components while maintaining acceptable performance levels, making it suitable for smallscale applications.

This review focuses on the design and implementation aspects of dual axis solar tracking systems using Arduino, highlighting their working principles, components, advantages, and performance improvements. It aims to provide a comprehensive understanding of how automation and intelligent control can significantly enhance the effectiveness of solar energy systems. By analyzing existing approaches and technologies, this study underscores the importance of innovation in renewable energy solutions and the role of embedded systems in shaping the future of energy generation.

Researchers have also explored the integration of additional sensors and monitoring systems. A dual-axis solar tracker with IoT capabilities was introduced to enable real-time monitoring of system performance. This system used Arduino as the core controller along with internet connectivity to transmit data such as panel position, solar intensity, and power output. Such integration enhances system reliability and enables remote diagnostics, which is particularly useful in large-scale solar installations.

Another significant contribution involves the use of temperature and environmental sensors to improve system efficiency. A study incorporating LM35 temperature sensors alongside LDRs demonstrated that controlling panel temperature can further enhance energy output. The system used Arduino Uno R3 along with relay modules and motors to achieve accurate positioning and thermal monitoring, ensuring optimal working conditions for the PV panels.

2. LITERATURE SURVEY The increasing demand for renewable energy and the limitations of conventional fossil fuels have accelerated research in solar energy harvesting systems. Among various advancements, dual-axis solar tracking systems have gained significant attention due to their ability to maximize solar energy absorption by continuously aligning photovoltaic (PV) panels with the sun's position. Numerous researchers have contributed to the design and implementation of Arduino-based dual-axis solar trackers, focusing on efficiency, cost-effectiveness, and automation.

In addition to hardware improvements, researchers have investigated control algorithms for better tracking performance. Traditional systems rely on simple thresholdbased control using LDRs, but modern approaches include sensor-less tracking and predictive algorithms based on solar position equations. These methods reduce dependency on sensors and improve reliability under varying weather conditions. A control-based solar tracking system demonstrated that advanced algorithms could increase energy output by over 40%, especially in large-scale applications.

Early studies on solar tracking systems emphasized the importance of dynamic panel orientation to improve energy output. A study conducted in 2016 proposed a dual-axis solar tracker using an Arduino Uno microcontroller, highlighting that fixed solar panels fail to capture maximum sunlight due to the continuous movement of the sun. The proposed system used servo motors and basic control logic

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Recent studies have also emphasized real-time data acquisition and display systems. Some Arduino-based trackers include LCD interfaces to display solar irradiance, tilt angle, and system status. These features enhance user interaction and allow for easier system analysis and maintenance.

3.1. Solar Panel The solar panel is the primary energy source of the system. It converts solar radiation into electrical energy using photovoltaic cells. In this system, a 10-watt panel is used not only to demonstrate the tracking mechanism but also to supply energy for charging the battery. The efficiency of the panel is significantly improved by maintaining its orientation toward the sun using dual-axis tracking.

Moreover, modern research trends are shifting towards hybrid systems combining solar tracking with energy storage and smart applications. For instance, Arduino-based solar trackers have been integrated with water pumping systems and automated irrigation, demonstrating the versatility of such systems in practical applications. These systems utilize multiple sensors and embedded control techniques to optimize both energy generation and utilization simultaneously.

3.2 Battery (12V) The battery serves as an energy storage unit. It stores the electrical energy generated by the solar panel and supplies power to the entire system during low sunlight or nighttime conditions. A 12V battery configuration ensures stable operation of motors, microcontroller, and other electronic components.

Despite these advancements, several challenges remain.

Mechanical complexity, increased maintenance requirements, and higher initial costs are key limitations of dual-axis tracking systems. Additionally, environmental factors such as wind load and cloud cover can affect system performance. Researchers continue to explore lightweight structures, efficient motor control, and intelligent algorithms to overcome these challenges.

3.3 MPPT (Maximum Power Point Tracker) The MPPT unit is responsible for extracting maximum power from the solar panel. It continuously monitors the voltage and current output and adjusts the operating point to ensure optimal efficiency. This enhances overall system performance by minimizing energy losses.

In summary, the literature indicates that Arduino-based dual-axis solar trackers significantly improve the efficiency of solar energy systems compared to fixed panels. The integration of sensors, microcontrollers, and control algorithms has evolved from simple LDR-based systems to advanced IoT-enabled and predictive tracking models. While cost and complexity remain concerns, ongoing research aims to develop more efficient, reliable, and economically viable solutions for widespread adoption.

3.4 Rectifier The rectifier converts any alternating current (if present) into direct current (DC). Although solar panels produce DC, this block ensures compatibility if any AC source is integrated. It also protects downstream components from reverse polarity.

3.5 Microcontroller (Arduino) The microcontroller is the brain of the system. An Arduino board is used to process input signals from LDR sensors and generate control signals for motor movement. It continuously compares light intensity values and determines the direction in which the solar panel should rotate for maximum sunlight exposure.

3. BLOCK DIAGRAM

3.6 LDR Sensors (LDR1, LDR2, LDR3, LDR4) Four Light Dependent Resistors (LDRs) are used as light sensors to detect sunlight intensity from different directions.

These sensors are placed in a specific arrangement to identify variations in light. Based on the difference in intensity, the microcontroller decides the movement of the panel along both axes.

Fig -1: Block Diagram of Dual Axis Solar Tracker Using Arduino

3.7 Motor Driver (L298) The L298 motor driver acts as an interface between the microcontroller and motors. Since the Arduino cannot

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International Research Journal of Engineering and Technology (IRJET)

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supply sufficient current to drive motors directly, the motor driver amplifies the control signals and provides the required power to operate the motors efficiently.

[3] Y. O. Udoakah and E. Chukwu, “Design and Implementation of a Dual Axis Solar Tracker Using Arduino Microcontroller,” ELEKTRIKA Journal of Electrical Engineering, vol. 17, no. 3, pp. 1–6, 2017.

3.8 Oscillator Unit

[4] S. Swami, R. Kumar, and N. Kumar, “Dual Axis Solar Tracking System Using Arduino,” Periodicals of Engineering and Natural Sciences, vol. 4, no. 1, pp. 34–36, 2020.

The oscillator unit generates clock signals required for the proper functioning of the microcontroller. It ensures synchronized operation and accurate timing for processing sensor inputs and controlling motor outputs.

[5] S. Amely Jumaat, M. N. A. Mohd Said, and C. Rimong, “Dual Axis Solar Tracker with IoT Monitoring System Using Arduino,” International Journal of Power Electronics and Drive Systems, vol. 11, no. 1, pp. 451–458, 2020.

3.9 Reset Circuit The reset circuit is used to restart the microcontroller when required. It ensures that the system can recover from errors or initialize properly during startup.

[6] S. Ahmad, A. N. Razali, and M. I. Misrun, “Effective and Low-Cost Arduino Based Dual-Axis Solar Tracker,” Journal of Physics: Conference Series, vol. 1878, no. 1, 2021.

3.10 Voltage Regulator

[7] K. S. Gaeid, M. N. Uddin, and M. K. Mohamed, “Design and Implementation of Dual Axis Solar Tracker System Based Arduino,” Tikrit Journal of Engineering Sciences, vol. 24, no.

2, 2017.

The voltage regulator maintains a constant output voltage regardless of input fluctuations. It ensures that the microcontroller and sensors receive a steady voltage supply, preventing malfunction or damage due to voltage variations.

3.11 LED Indicator

[8] H. Asyari and A. W. Aji, “Design of Dual Axis Solar Tracking System Based on Arduino and LDR Sensors,” Jurnal Teknik Elektro, vol. 7, no. 2, pp. 101–107, 2023.

The LED indicator provides visual feedback about the system status. It indicates whether the system is powered ON, charging, or functioning properly. This helps in easy monitoring and troubleshooting.

[9] K. Chenchireddy, G. B. Mulla, and S. A. Sydu, “Dual-Axis Solar Tracker Using Arduino and LDRs,” in Proceedings of International Conference on Communications and Cyber Physical Engineering, 2025.

4. CONCLUSIONS

[10] K. Chenchireddy, G. B. Mulla, V. Jagan, and W. Sultana, “Solar Tracker Using Arduino Microcontroller and Light Dependent Resistor,” International Journal of Power Electronics and Drive Systems, vol. 16, no. 1, pp. 70–75, 2025.

This Dual Axis Solar Tracker using Arduino presents an effective solution to improve the efficiency of solar energy systems by continuously aligning the panel with the sun's position. By utilizing simple sensors and automated control, the system enhances energy capture compared to conventional fixed panels. Its cost-effectiveness, adaptability, and improved performance make it a practical approach for modern renewable energy applications. Overall, this technology plays an important role in maximizing solar utilization and supporting sustainable energy development.

REFERENCES [1] D. L. Dhanalakshmi, H. N. Lakshmi Prasanna, V. Priyanka, and K. J. Rani, “Dual Axis Solar Tracker Using Arduino Uno,” International Journal on Recent and Innovation Trends in Computing and Communication, vol. 4, no. 6, pp. 386–388, 2016.

[2] C. H. Pardosi, M. Siregar, and L. W. Pandjaitan, “Design and Implementation of a Dual-Axis Solar Tracking System using Arduino Uno Microcontroller,” Jurnal ELTIKOM, vol. 8, no. 1, 2023.

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