Design and Development of an Advanced Load Control System via Arduino

Safaa Najah Saud Al-Humairi

doi:10.58564/IJSER.3.4.2024.276

Authors

Safaa Najah Saud Al-Humairi Faculty of Information Sciences and Engineering, Management and Science University, 40100 Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.58564/IJSER.3.4.2024.276

Keywords:

Advanced load control system (ALCS), Internet of Things (IoT), Load Imbalance, Faulty Notification

Abstract

Incorporating Internet of Things (IoT) technology into load control systems has changed how we acquire regulators and monitor devices, making it more convenient and safer. The proposed system focuses on designing an intelligent indicator and control system solution for demanding industrial environments where equipment experiences heavy-duty cycles. The Arduino microcontroller dictates myriad safety features and controls and monitors various devices' functions. This allows for easier mobile and Wi-Fi integration to remotely operate electronic devices, providing the system with an additional level of efficiency that increases safety in various applications such as agriculture, home automation, and industrial uses. Based on the multi-segment framework, the system processes input signals managed by an Arduino-based microcontroller that controls output devices such as motors, fans, and lights. It can be monitored 24/7 via a mode based on IoT (Internet of Things) technology to receive feedback and perform operations from anywhere in the world. This system supports system anomaly detection-e.g., motor stalls and overvoltage conditions. It can alert users if something malfunctions, improve visibility of day-to-day operations, and allow for swift responses. The results show that the designed system has improved the flexibility and usability of the operational load control using the Arduino microcontroller. It was also found that upon detecting a stall, the system feedback is sent as a notification to the user by the Blynk mobile app, thus preventing the motor operations from serious damage. Therefore, this system was able to offer sustainable solutions in contrast to overloading or overheating that may be faced by the system or the motors. It is also recommended that load frequency control (LFC) be implemented with Proportional-Integral-Derivative (PID) controllers and optimized techniques to make interconnected power systems more stable and efficient.

References

H. K. Kondaveeti, N. K. Kumaravelu, S. D. Vanambathina, S. E. Mathe, and S. Vappangi, "A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations," Computer Science Review, vol. 40, p. 100364, 2021. DOI: https://doi.org/10.1016/j.cosrev.2021.100364

J. P. Steiner, C. Baby, C. Buck, and D. F. Carmen, "Multiple location load control system," ed: Google Patents, 2011.

A. Kammeyer and J. Nordholz, "Power Optimisation for a Verifiably Secure Separation Kernel," in 2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE), 2023: IEEE, pp. 164-171. DOI: https://doi.org/10.1109/EPCE58798.2023.00036

A. La Monaca et al., "Surface integrity in metal machining-Part II: Functional performance," International Journal of Machine Tools and Manufacture, vol. 164, p. 103718, 2021. DOI: https://doi.org/10.1016/j.ijmachtools.2021.103718

S. Aswathy, A. K. Tyagi, and S. Kumari, "The Future of Edge Computing with Blockchain Technology: Possibility of Threats, Opportunities, and Challenges," Recent Trends in Blockchain for Information Systems Security and Privacy, pp. 261-292, 2021. DOI: https://doi.org/10.1201/9781003139737-18

P. Goel, "Decision Support System for Improved Operations, Maintenance, and Safety: A Data-Driven Approach," Texas A&M University, 2020.

S. Jadon, K. Pradyuman, U. Kalaria, K. Varsha, K. Gupta, and P. B. Honnavalli, "A comprehensive study of load balancing approaches in real-time multi-core systems for mixed real-time tasks," IEEE Access, 2024. DOI: https://doi.org/10.1109/ACCESS.2024.3388291

O. Y. Abdulhammed, "Load balancing of IoT tasks in the cloud computing by using sparrow search algorithm," The Journal of Supercomputing, vol. 78, no. 3, pp. 3266-3287, 2022. DOI: https://doi.org/10.1007/s11227-021-03989-w

F. Chahlaoui and H. Dahmouni, "A taxonomy of load balancing mechanisms in centralized and distributed SDN architectures," SN Computer Science, vol. 1, no. 5, p. 268, 2020. DOI: https://doi.org/10.1007/s42979-020-00288-8

O. Laayati, M. Bouzi, and A. Chebak, "Smart energy management system: design of a monitoring and peak load forecasting system for an experimental open-pit mine," Applied System Innovation, vol. 5, no. 1, p. 18, 2022. DOI: https://doi.org/10.3390/asi5010018

S. K. Rathor and D. Saxena, "Energy Management System for Smart Grid: An Overview and Key Issues," International Journal of Energy Research, vol. 44, no. 6, pp. 4067-4109, 2020, doi: 10.1002/er.4883. DOI: https://doi.org/10.1002/er.4883

M. Emamian, A. Eskandari, M. Aghaei, A. Nedaei, A. M. M. Sizkouhi, and J. Milimonfared, "Cloud Computing and IoT Based Intelligent Monitoring System for Photovoltaic Plants Using Machine Learning Techniques," Energies, vol. 15, no. 9, p. 3014, 2022, doi: 10.3390/en15093014. DOI: https://doi.org/10.3390/en15093014

A. Goudarzi, F. Ghayoor, M. Waseem, S. Fahad, and I. Traoré, "A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook," Energies, vol. 15, no. 19, p. 6984, 2022, doi: 10.3390/en15196984. DOI: https://doi.org/10.3390/en15196984

S. Chakraborty, "MOBILE BASED APPLIANCE CONTROL USING DTMF DECODER," Electronics and Telecommunication Engineering, Electronics Engineering, Kiit University, India, 2015.

W. Xie et al., "Intervertebral Disc‐on‐a‐Chip MF: A New Model for Mouse Disc Culture via Integrating Mechanical Loading and Dynamic Media Flow," Advanced Materials Technologies, vol. 8, no. 21, 2023, doi: 10.1002/admt.202300606. DOI: https://doi.org/10.1002/admt.202300606

F. Doringin, M. J. Budiman, and S. Walukow, "Balance Automatic Control System Load 3 Phase," International Journal of Computer Applications, vol. 177, no. 9, pp. 33-37, 2019, doi: 10.5120/ijca2019919472. DOI: https://doi.org/10.5120/ijca2019919472

N. H. N. Low, C. A. Ng, and F. Micheli, "A Low‐cost Modular Control System for Multistressor Experiments," Limnology and Oceanography Methods, vol. 18, no. 10, pp. 623-634, 2020, doi: 10.1002/lom3.10389. DOI: https://doi.org/10.1002/lom3.10389

M. Yumurtacı and O. Verim, "Liquid Level Control With Different Control Methods Based on Matlab/Simulink and Arduino for the Control Systems Lesson," International Advanced Researches and Engineering Journal, vol. 4, no. 3, pp. 249-254, 2020, doi: 10.35860/iarej.750664. DOI: https://doi.org/10.35860/iarej.750664

R. Rikwan and A. Ma’arif, "DC Motor Rotary Speed Control With Arduino UNO Based PID Control," vol. 1, no. 1, pp. 17-31, 2023, doi: 10.59247/csol.v1i1.6. DOI: https://doi.org/10.59247/csol.v1i1.6

I. R. Agung and I. D. D. H, "Design of Lighting Control With RTC Timer and SMS Using Microcontroller," Journal of Electrical Electronics and Informatics, vol. 1, no. 1, p. 24, 2017, doi: 10.24843/jeei.2017.v01.i01.p05. DOI: https://doi.org/10.24843/JEEI.2017.v01.i01.p05