Design and construction of a low-cost test bench for drones

Authors

DOI:

https://doi.org/10.29105/ingenierias29.101-991

Keywords:

Experimental testing bench, unmanned aerial vehicles, force and moment measurement, load cell instrumentation, low-cost design

Abstract

This work presents the design, fabrication, and validation of a low-cost testing bench for measuring forces and moments in all six degrees of freedom (6 DoF) acting on an unmanned aerial vehicle (UAV). The system integrates a strategically arranged set of load cells and a mathematical model that relates sensor signals to the applied loads with respect to the UAV center of gravity. The structural design was developed using CAD and evaluated through numerical analysis, considering components manufactured from polylactic acid (PLA) and aluminum alloy 6061. Experimental results show good agreement with commercial reference sensors, demonstrating the feasibility of an accurate and cost-effective solution for UAV experimental research.

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Author Biographies

Alejandro Jiménez Flores, Universidad Autónoma de Nuevo León

Aeronautical Engineer (2020) from the Universidad Politécnica de Chihuahua; Master of Science in Aeronautical Engineering specializing in Flight Dynamics (2025) from the Universidad Autónoma de Nuevo León (CIIIA-FIME-UANL). Research interests: unmanned aerial vehicles, flight dynamics, control systems, additive manufacturing, and machine learning.

Luis Arturo Reyes Osorio, Universidad Autónoma de Nuevo León

He holds a degree in Mechanical-Administrative Engineering, a Master of Science degree, and a Doctorate in Materials Engineering from UANL. A professor at FIME-UANL, he conducts research in structures, manufacturing, and simulation. He leads the UANL-CA-378 research group, holds SNI Level II status, and has an extensive record of scientific output, thesis supervision, and participation in academic projects.

María Eugenia Juárez Huitrón, Universidad Autónoma de Nuevo León

Professor-researcher in materials engineering, with a background in Chemical Engineering (ITL, 2005), a Master of Science in Soil Science (ITT, 2008), and a PhD in Materials Engineering (FIME-UANL, 2026). Her research focuses on the study of semiconductors, particularly the development of ceramic materials with non-ohmic properties.

Edmundo Javier Ollervides Vázquez, TecNM/Instituto Tecnológico de La Laguna

Electronic Engineer (1996) from TecNM/ITLaLaguna; Master of Science in Electronics and Telecommunications (2001) from CICESE; Doctor of Science in Aeronautical Engineering from CIIIA-FIME-UANL (2021). Full-time Research Professor at the DEPI of TecNM/ITLaLaguna. Holds "Candidate" status in the SNII; research areas include drones, unmanned aerial systems, intelligent navigation, and avionics.

Octavio García Salazar, Universidad Autónoma de Nuevo León

Electronic Engineer (2000) from TecNM-ITLaLaguna; Master of Science in Electrical Engineering (2003) from TecNM-ITLaLaguna. PhD in Systems Control from the University of Technology of Compiègne (2009). CNRS Postdoctoral Fellow at LAFMIA-CINVESTAV (2011). Research Professor at CIIIA-FIME-UANL since 2013. Holds SNII Level 2 status; research areas: drones and unmanned aerial systems.

References

1. Fernando, H. C. T. E., De Silva, A. T. A., De Zoysa, M. D. C., Dilshan, K. A. D. C., & Munasinghe, S. R. (2013, December). Modelling, simulation and implementation of a quadrotor UAV. In 2013 IEEE 8th International conference on industrial and information systems (pp. 207-212). IEEE. DOI: https://doi.org/10.1109/ICIInfS.2013.6731982

2. Hoffmann, G., Waslander, S., & Tomlin, C. (2006, August). Distributed cooperative search using information-theoretic costs for particle filters, with quadrotor applications. In AIAA Guidance, Navigation, and Control Conference and Exhibit (p. 6576). DOI: https://doi.org/10.2514/6.2006-6576

3. Roldão, V., Cunha, R., Cabecinhas, D., Silvestre, C., & Oliveira, P. (2014). A leader-following trajectory generator with application to quadrotor formation flight. Robotics and Autonomous Systems, 62(10), 1597-1609. DOI: https://doi.org/10.1016/j.robot.2014.05.002

4. Allen, R., & Pavone, M. (2016). A real-time framework for kinodynamic planning with application to quadrotor obstacle avoidance. In AIAA Guidance, Navigation, and Control Conference (p. 1374). DOI: https://doi.org/10.2514/6.2016-1374

5. Elmokadem, T. (2019). Distributed coverage control of quadrotor multi-UAV systems for precision agriculture. IFAC-PapersOnLine, 52(30), 251-256. DOI: https://doi.org/10.1016/j.ifacol.2019.12.530

6. Liang, Q., Zhang, D., Coppola, G., Wang, Y., Wei, S., & Ge, Y. (2014). Multi-dimensional MEMS/micro sensor for force and moment sensing: A review. IEEE Sensors Journal, 14(8), 2643-2657. DOI: https://doi.org/10.1109/JSEN.2014.2313860

7. Tavakolpour-Saleh, A. R., & Sadeghzadeh, M. R. (2014). Design and development of a three-component force/moment sensor for underwater hydrodynamic tests. Sensors and Actuators A: Physical, 216, 84-91. DOI: https://doi.org/10.1016/j.sna.2014.05.001

8. Payo, I., Adánez, J. M., Rosa, D. R., Fernández, R., & Vázquez, A. S. (2018). Six-axis column-type force and moment sensor for robotic applications. IEEE Sensors Journal, 18(17), 6996-7004.T., L., ≪Design of a three-dimensional capacitor-based six-axis force sensor for human-robot interaction≫, Sensors and Actuators A: Physical, 331, 112939., 2021. DOI: https://doi.org/10.1109/JSEN.2018.2853561

9. Liu, T. (2021). Design of a three-dimensional capacitor-based six-axis force sensor for human-robot interaction. Sensors and Actuators A: Physical, 331, 112939. DOI: https://doi.org/10.1016/j.sna.2021.112939

10. Akbari, H., & Kazerooni, A. (2018). Improving the coupling errors of a Maltese cross-beams type six-axis force/moment sensor using numerical shape-optimization technique. Measurement, 126, 342-355. DOI: https://doi.org/10.1016/j.measurement.2018.05.074

11. Jacobs, D. A., & Ferris, D. P. (2015). Estimation of ground reaction forces and ankle moment with multiple, low-cost sensors. Journal of neuroengineering and rehabilitation, 12(1), 90. DOI: https://doi.org/10.1186/s12984-015-0081-x

12. Tlatelpa-Osorio, Y. E., Corona-Sánchez, J. J., & Rodríguez-Cortés, H. (2016, June). Quadrotor control based on an estimator of external forces and moments. In 2016 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 957-963). IEEE. DOI: https://doi.org/10.1109/ICUAS.2016.7502617

13. Papachristos, C., Alexis, K., & Tzes, A. (2014, May). Efficient force exertion for aerial robotic manipulation: Exploiting the thrust-vectoring authority of a tri-tiltrotor uav. In 2014 IEEE international conference on robotics and automation (ICRA) (pp. 4500-4505). IEEE. DOI: https://doi.org/10.1109/ICRA.2014.6907516

14. Strachan, R., Knowles, K., Lawson, N. J., & Finnis, M. V. (2012). Force and moment measurements for a generic car model in proximity to a side wall. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of automobile engineering, 226(10), 1352-1364. DOI: https://doi.org/10.1177/0954407012443643

15. Deshpande, M. S., Jawale, H. P., & Thorat, H. T. (2016, July). Development, calibration and testing of three axis force sensor. In 2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE) (pp. 285-289). IEEE. DOI: https://doi.org/10.1109/ICMAE.2016.7549551

16. Yuan, C., Luo, L. P., Yuan, Q., Wu, J., Yan, R. J., Kim, H., ... & Han, C. S. (2015). Development and evaluation of a compact 6-axis force/moment sensor with a serial structure for the humanoid robot foot. Measurement, 70, 110-122. DOI: https://doi.org/10.1016/j.measurement.2015.03.027

17. Park, J. Y., Shim, H., Jun, B. H., Lee, P. M., Yoo, S. Y., & Baek, H. (2017, February). Measurement of hydrodynamic forces and moment acting on Crabster, CR200 using model tests. In 2017 IEEE Underwater Technology (UT) (pp. 1-5). IEEE. DOI: https://doi.org/10.1109/UT.2017.7890312

18. Huang, B., Tao, J., Yi, J., Wang, X., Li, C., & Chen, S. (2017). Improvement for the stability of an air-lubricated six-axis force/moment sensor. The International Journal of Advanced Manufacturing Technology, 92(1), 715-721. DOI: https://doi.org/10.1007/s00170-017-0054-2

19. Kim, C., & Lee, C. H. (2016). Development of a 6-DoF FBG force–moment sensor for a haptic interface with minimally invasive robotic surgery. Journal of Mechanical Science and Technology, 30(8), 3705-3712. DOI: https://doi.org/10.1007/s12206-016-0732-2

20. Yu, Y., & Ding, X. (2012). A quadrotor test bench for six degree of freedom flight. Journal of Intelligent & Robotic Systems, 68(3), 323-338. DOI: https://doi.org/10.1007/s10846-012-9680-y

Published

2026-07-25

How to Cite

Jiménez Flores, A., Reyes Osorio, L. A., Juárez Huitrón, M. E., Ollervides Vázquez, E. J., & García Salazar, O. (2026). Design and construction of a low-cost test bench for drones. Revista Ingenierías, 29(101), 15–24. https://doi.org/10.29105/ingenierias29.101-991

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