Development of a Stable Quadcopter System Using Open-Source Autopilot
Ali A. Abed ;
Abdullah Hussein Talib ;
Elaf J. Majeed ;
Mahmood A. Al-Shareeda
Published: 2026
Abstract
In this paper, we propose the design and implementation of a tuned quad- copter derived from an open source autopilot platform. The overall operation of manual and assisted flight is accomplished using a lightweight airframe, performance optimized propulsion units, and modular hardware, software architecture. A flight controller is designed with an open source and set up on the ground control station for sensor adjustment, flight mode setting and monitoring. Some real- flight experiments are carried out for system test, including disturbance rejection experiment, payload variation experiment, position-hold flight mode validation and maximum altitude test. The experimental results show that effective external disturbance compensation is achieved, and there are stable signal autonomous-assisted flight as well as reliable altitude holding up to 20 m. This platform presents a cost-effective and repeatable solution for many UAV research laboratories, educational activities, and practical applications.
Keywords
References
- Aditya, V., Aswin, D. S., Dhaneesh, S. V., Chakravarthy, S., Kumar, B. S., & Venkadavarahan, M. (2024). A review on air traffic flow management optimization: Trends, challenges, and future directions. Discover Sustainability, 5(1), 519. https://doi.org/10.1007/s43621-024-00519-9
- Almazroi, A. A., Alkinani, M. H., Al-Shareeda, M. A., & Manickam, S. (2024). A novel DDoS mitigation strategy in 5G-based vehicular networks using Chebyshev polynomials. Arabian Journal for Science and Engineering, 49(9), 11991–12004. https://doi.org/10.1007/s13369-024-08938-4
- Abdillah, R. E., Moenaf, H., Rasyid, L. F., Achmad, S., & Sutoyo, R. (2024). Implementation of artificial intelligence on air traffic control: A systematic literature review. In Proceedings of the 18th International Conference on Ubiquitous Information Management and Communication (IMCOM) (pp. 1–7). IEEE. https://doi.org/10.1109/IMCOM61040.2024.10460728
- Renkhoff, J., Ternus, S., & Guleria, Y. (2025). A survey on personalized conflict resolution approaches in air traffic control. Aerospace, 12(9), 751. https://doi.org/10.3390/aerospace12090751
- Alves, D., Belo-Pereira, M., Mendonça, F., & Morgado-Dias, F. (2025). Intelligent visibility forecasting at airports: A systematic review. Environmental Research Communications. Advance online publication. https://doi.org/10.1088/2515-7620/ad8c2b
- Ogunwole, O., Onukwulu, E. C., Joel, M. O., Adaga, E. M., & Ibeh, A. I. (2023). Modernizing legacy systems: A scalable approach to next-generation data architectures and seamless integration. International Journal of Multidisciplinary Research and Growth Evaluation, 4(1), 901–909.
- Mohammed, B. A., Al-Shareeda, M. A., Al-Mekhlafi, Z. G., Alshudukhi, J. S., & Al-Dhlan, K. A. (2024). HAFC: Handover authentication scheme based on fog computing for 5G-assisted vehicular blockchain networks. IEEE Access, 12, 6251–6261. https://doi.org/10.1109/ACCESS.2024.3350274
- Castruita-López, J. F., Aviles, M., Toledo-Pérez, D. C., Macías-Socarrás, I., & Rodríguez-Reséndiz, J. (2025). Electromyography signals in embedded systems: A review of processing and classification techniques. Biomimetics, 10(3), 166. https://doi.org/10.3390/biomimetics10030166
- Baker, B., Woods, J., Reed, M. J., & Afford, M. (2024). A survey of short-range wireless communication for ultra-low-power embedded systems. Journal of Low Power Electronics and Applications, 14(2), 27. https://doi.org/10.3390/jlpea14020027
- Soto-Cruz, J., Ruiz-Ibarra, E., Vázquez-Castillo, J., Espinoza-Ruiz, A., Castillo-Atoche, A., & Mass-Sanchez, J. (2024). A survey of efficient lightweight cryptography for power-constrained microcontrollers. Technologies, 13(1), 3. https://doi.org/10.3390/technologies13010003
- Thakur, D. S., Kourav, S., Shah, S. K., & Verma, K. (2024). Area- and speed-efficient Vedic RISC processors for embedded systems. In Proceedings of the IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT) (pp. 1219–1224). IEEE. https://doi.org/10.1109/CSNT60226.2024.10521946
- Soni, M. S., Jisan, M., Kaustav, B., & Ghosh, R. (2025). Advancements in weather monitoring systems: A comprehensive review. In Proceedings of the 8th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (pp. 1–5). IEEE.
- Ganesan, S., Lean, C. P., Chen, L., Yuan, K. F., Kiat, N. P., & Khan, M. R. B. (2024). IoT-enabled smart weather stations: Innovations, challenges, and future directions. Malaysian Journal of Science and Advanced Technology, 180–190.
- Kumar, A., Malhotra, S., Kaur, D. P., & Gupta, L. (2022). Weather monitoring and air quality prediction using machine learning. In Proceedings of the 1st International Conference on Computational Science and Technology (ICCST) (pp. 364–368). IEEE. https://doi.org/10.1109/ICCST55977.2022.10044413
- Ujoodha, M., Pultoo, A., & Oojorah, A. (2021). Climate monitoring using an Arduino-based mobile weather station and open-source codes. JESS: Journal of Education on Social Science, 16(1), 105–114.
- Mabrouki, J., Azrour, M., Dhiba, D., Farhaoui, Y., & El Hajjaji, S. (2021). IoT-based data logger for weather monitoring using Arduino-based wireless sensor networks with remote graphical application and alerts. Big Data Mining and Analytics, 4(1), 25–32. https://doi.org/10.26599/BDMA.2020.9020016
- Michailidis, I., Mountzouris, P., Triantis, P., Pagiatakis, G., Papadakis, A., & Dritsas, L. (2025). An Arduino-based, portable weather monitoring system remotely usable through the mobile telephony network. Electronics, 14(12), 2330. https://doi.org/10.3390/electronics14122330
- Venugopalaswamy, S., Sujitha, V. H. S. D., Padmavathi, G. L., Sravya, M., Jahnavi, D. D., & Panguluri, S. K. (2024). Dual-axis solar tracking system with weather monitoring system. International Journal of Engineering Technology and Management Sciences, 8(2), 88–99.
- Stoyanov, S., Kuzmanov, Z., & Stoyanova, T. (2024). Weather monitoring system using IoT-based DIY automatic weather station. In Proceedings of the 9th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE) (pp. 1–6). IEEE. https://doi.org/10.1109/EEAE60042.2024.10482317
- Talib, A. H., AL-Nakkash, A. H., Wadday, A. G., Abed, A. A., & Al-Shareeda, M. A. (2026). Real-Time Spectrum Sensing on an RTL-SDR-Based IoT Platform. International Journal of Cybersecurity Engineering and Innovation, 2026(1).
- Alrajeh, M., Almaiah, M., & Mamodiya, U. (2026). Cyber Risk Analysis and Security Practices in Industrial Manufacturing: Empirical Evidence and Literature Insights. International Journal of Cybersecurity Engineering and Innovation, 2026(1).
- Al-shareeda, M., Musa, H. A., Jaafar, A., Salman, A. A., Tami, Z. J., Hameed, H. M., ... & Bashkh, N. S. (2026). Design and Implementation of a Speech-to-Sign Robotic Arm for Deaf Communication. International Journal of Cybersecurity Engineering and Innovation, 2026(1).