| F.J. Villalobos-Piña | Instituto Tecnológico de Aguascalientes |
| R. Alvarez-Salas | Universidad Autónoma de San Luis Potosí |
| J.A. Reyes-Malanche | Universidad Tecnológica de Aguascalientes |
| C.H. Saucedo-Zarate | Instituto Tecnológico de Aguascalientes |
| M.S. Esparza-González | Instituto Tecnológico de Aguascalientes |
| L.A. Gonzalez-Murillo | Universidad Autónoma de San Luis Potosí |
https://doi.org/10.58571/CNCA.AMCA.2025.073
Resumen: This work presents a didactic system for the identification and control of Brushless Direct Current (BLDC) motors. The system comprises a controller based on the PIC18F45K50 microcontroller, a Raspberry Pi 4 B+ computer with a graphical interface developed in Python using the Tkinter library. The system allows the identification of the motor’s transfer function based on the speed response curve. Once the transfer function is identified, the system is capable of tuning a speed discrete-time PID controller to perform control tasks.
¿Cómo citar?
Villalobos-Piña, F., Alvarez-Salas, R., Reyes-Malanche, J., Saucedo-Zarate, C., Esparza-González, M. & Gonzalez-Murillo, L. (2025). Didactic system for identification and control of BLDC motors. Memorias del Congreso Nacional de Control Automático 2025, pp. 427-432. https://doi.org/10.58571/CNCA.AMCA.2025.073
Palabras clave
BLDC motor, System identification, Control.
Referencias
- Anshory, I., Hadidjaja, D., and Sulistiyowati, I. (2021). Measurement, modeling, and optimization speed control of bldc motor using fuzzy p so based algorithm. Journal of Electrical Technology UMY (JET-UMY), 5(1), 1–9,
https://journal.umy.ac.id/index.php/jet/article/view/12113, ISSN: 2550–1186. - Cho, S., Hwang, J., and Kim, C.W. (2018). A study on vibration characteristics of brushless dc motor by electromagnetic-structural coupled análisis using entire finite element model. IEEE Transactions on Energy Conversion, 33(4), 1–16, https://doi.org/10.1109/TEC.2018.2833493.
- Gamazo-Real, J.C., Vazquez-Sanchez, E., and Gomez- Gil, J. (2010). Position and speed control of brushless dc motors using sensorless techniques and application trends. Sensors MDPI, 10(1), 6901–6947, www.mdpi.com/journal/sensors, ISSN: 1424–8220.
- Gan, M.G., Zhang, M., Zheng, C.Y., and Chen, J. (2018). An adaptive sliding mode observer over wide speed range for sensorless control of a brushless dc motor. Control Engineering Practice Elsevier, 77(1), 52 – 56, https://doi.org/10.1016/j.conengprac.2018.05.004, ISSN: 0967–0661.
- Ghignone, R.A., Cal´a, F.J., Giampetruzzi, J.G., Domanico, S.M., and Juarez, C.G. (2019). Control de motores dc sin escobillas para vehículos eléctricos usando un uc doble núcleo. elektron, 3(2), 84 – 90, ISSN: 2525–0159.
- Horita, A.Y., Loubach, D.S., and Bonna, R. (2020). Analysis and identification of possible automation approaches for embedded systems design flows. MDPI Information, 11(2), 1 – 29, doi:10.3390/info11020120.
- Kroics, K. and Bumanis, A. (2024). Bldc motor speed control with digital adaptive pid-fuzzy controller and reduced harmonic content. Energies MDPI, 17(6), 1–15, https://doi.org/10.3390/en17061311, ISSN: 1996–1073.
- Mohanraj, D., Aruldavid, R., Verma, R., Sathiyasekar, K., Barnawi, A.B., Chokkalingam, B., and image of Lucian Mihet-Popa Lucian Mihet-Popa, A. (2022). A review of bldc motor: State of art, advanced control techniques, and applications. Sensors MDPI, 10(1), 54833 – 54869, 10.1109/ACCESS.2022.3175011, ISSN: 2169–3536.