CONTROL INDUSTRIAL DE UN MOTOR A PASOS USANDO TECNOLOGÍA FRUGAL
DOI:
https://doi.org/10.69823/avacient.v4n2a3Palabras clave:
minicomputadora, control, frugal, motor, interfazResumen
En este artículo se presenta el diseño, construcción y resultados experimentales de una plataforma para el control industrial de un motor a pasos Nema 34, el cual es controlado a través del driver DQ860HA por medio de la modulación del ancho de pulso que es generado por una minicomputadora Raspberry Pi, por lo que se requiere un código de programación que ejecute cíclicamente la cantidad de pulsos que deben ser enviados al controlador atendiendo el paso nominal de 400 pulsos por revolución. Además, se ha desarrollado una interfaz de usuario en donde se habilita la posibilidad de seleccionar algunas modalidades de operación del motor a pasos como la velocidad y sentido de giro, cantidad de pasos a desarrollar por el motor o bien, el número de revoluciones que girará el motor. Por tanto, el código de programación realizará los cálculos necesarios para generar la señal de pulsos que atiendan a los valores definidos por el usuario. Se ha utilizado lenguaje de programación Python para manejar el puerto de entrada/salida de la Raspberry Pi con resultados experimentales que muestran el correcto desempeño del trabajo desarrollado usando tecnología frugal aplicada en un equipo industrial.
Citas
Alex David, S.; Ravikumar, S.; Rizwana Parveen, A. Raspberry Pi in computer science and engineering education. In Intelligent Embedded Systems; Springer, 2018; pp. 11–16.
Bonvoisin, J., Mies, R., y Boujut, J. F. (2021). Seven observations and research questions about Open Design and Open Source Hardware. Design Science, 7, pp. e22.
Cámara, J. I. (2020). Diseño, realización y control de un robot autoequilibrado de bajo coste basado en una Raspberry Pi. Escuela Técnica Superior de Ingeniería, Universidad de Sevilla.
Choi, H.; Crump, C.; Duriez, C.; Elmquist, A.; Hager, G.; Han, D.; Hearl, F.; Hodgins, J.; Jain, A.; Leve, F.; et al. On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward. Proceedings of the National Academy of Sciences, 2021(118).
DQ860HA Controlador Drive Nema 17, 23, 34 7.2A. (s.f.). lionchip. Recuperado el 15 de mayo de 2024, de https://www.lionchipmexico.com/product-page/controlador-drive-motor-a-pasos-nema-17-23-34-d-860-driver
Emad, E., Alaa, O., Hossam, M., Ashraf, M., y Shamseldin, M. A. (2021). Design and implementation of a low-cost microcontroller-based an industrial delta robot. WSEAS Transactions on Computers, 20, pp. 289-300.
Fernández-Pacheco, A.; Martin, S.; Castro, M. Implementation of an Arduino remote laboratory with raspberry Pi. In Proceedings of the 2019 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2019, pp. 1415– 1418.
Fuentes, P.; Camarero, C.; Herreros, D.; Mateev, V.; Vallejo, F.; Martinez, C. Addressing Student Fatigue in Computer Architecture Courses. IEEE Transactions on Learning Technologies, 2022.
Fukumoto, H., Yamaguchi, T., Ishibashi, M., y Furukawa, T. (2020). Developing a remote laboratory system of stepper motor for learning support. IEEE Transactions on Education, 64(3), 292-298.
Gamess, E., y Hernandez, S. (2022). Performance evaluation of different Raspberry Pi models for a broad spectrum of interests. International Journal of Advanced computer science and applications, 13(2).
Ghani, S. A. C., Kettner, M., Aslan, F., Dzharuddin, F., y Sazali, N. (2021). Smart driving assistance system using Raspberry Pi and actuator networks. In IOP Conference Series: Materials Science and Engineering, 1068(1), pp. 012022.
Hannig, F., y Teich, J. (2021). Open source hardware. Computer, 54(10), pp. 111-115.
Hossain, M., Agarwal, N., Bhatti, Y., y Levänen, J. (2022). Frugal innovation: Antecedents, mediators, and consequences. Creativity and Innovation Management, 31(3), 521-540.
Jayabalan, J.; Dorasamy, M.; Raman, M. Reshaping higher educational institutions through frugal open innovation.
Journal of Open Innovation: Technology, Market, and Complexity, 2021(7), pp. 145.
Karim, M. Z. B. A., y Thamrin, N. M. (2022). Servo Motor Controller using PID and Graphical User Interface on Raspberry Pi for Robotic Arm. In Journal of Physics: Conference Series, 2319(1), p. 012015. IOP Publishing
Khairudin, M., Asnawi, R., y Shah, A. (2020). The characteristics of TB6600 motor driver in producing optimal movement for the Nema23 stepper motor on CNC machine. Telkomnika, 18(1), 343-350.
Kriswanto, K., Karsan, K., Al-Janan, D. H., Roziqin, A., Hangga, A., Fathoni, K., y Wijayanto, B. (2021). Design and performance of the raspberry pi control system on packaging machine capacity 2400 Pcs/h. Rekayasa: Jurnal Penerapan Teknologi Dan Pembelajaran, 19(1), pp. 1-10.
Kwon, J.; Park, D. Hardware/software co-design for tinyml voice-recognition application on resource frugal Edge Devices. Applied Sciences, 2021(11), pp. 11073.
Lotfi, N.; Auslander, D.; Rodriguez, L.A.; Mbanisi, K.C.; Berry, C.A. Use of Open-source Software in Mechatronics and Robotics Engineering Education–Part I: Model Simulation and Analysis. Computers in Education Journal, 2021(12).
Mbanisi, K.C.; Auslander, D.M.; Berry, C.A.; Rodriguez, L.A.; Molki, M.; Lotfi, N. Promoting Open-source Hardware and Software Platforms in Mechatronics and Robotics Engineering Education. In Proceedings of the 2020 ASEE Virtual Annual Conference Content Access, 2020.
Nema 34 Motor a Pasos 115Kg/cm Doble Eje. (s.f.). Lionchip. Recuperado el 15 de mayo de 2024, de https://www.lionchipmexico.com/product-page/motor-de-paso-stepper-nema-34-cnc-impresora-3d-doble-eje- lionchip
Park, Y. Development of an Educational Code of Deriving Equations of Motion and Analyzing Dynamic Characteristics of Multibody Closed Chain Systems using GNU Octave for a Beginner. Journal of Applied and Computational Mechanics, 2022(8), pp. 232–244.
Raikar, M.M.; Desai, P.; Vijayalakshmi, M.; Narayankar, P. Upsurge of IoT (Internet of Things) in engineering education: A case study. In Proceedings of the 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2018, pp. 191–197.
Ramchandra, Y., Salim, M., Ankush, T., y Vasantrao, P. (2021). Self-balancing robot using Raspberry Pi and PID controller. International Journal of Innovative Science and Research Technology, 6(4), 321-322.
Raspberry Pi 3B+. (s.f.). Raspberrypi.com. Recuperado el 15 de mayo de 2024, de https://www.raspberrypi.com/products/raspberry-pi-3-model-b-plus/
Salgues, B. (2018). Society 5.0: industry of the future, technologies, methods and tools. John Wiley & Sons.
Saluja, M.K.; Thakur, S. Open Source Software Based Education and Training Framework for Software Engineering Education. Solid State Technology, 2020(63), pp. 9633–9645.
Sanchez, R.; Groc, M.; Vuillemin, R.; Pujo-Pay, M.; Raimbault, V. Development of a Frugal, In Situ Sensor Implementing a Ratiometric Method for Continuous Monitoring of Turbidity in Natural Waters. Sensors, 2023(23), pp. 1897.
Škraba, A., Stanovov, V., y Semenkin, E. (2020). Development of control systems kit for study of PID controller in the framework of cyber-physical systems. In IOP Conference Series: Materials Science and Engineering, 734, (1), p. 012105. IOP Publishing.
Sowinski, P.; Rachwał, K.; Danilenka, A.; Bogacka, K.; Kobus, M.; D ˛abrowska, A.; Paszkiewicz, A.; Bolanowski, M.; Ganzha, M.; Paprzycki, M. Frugal Heart Rate Correction Method for Scalable Health and Safety Monitoring in Construction Sites. Sensors, 2023(23), pp. 6464.
Tapaskar, R.; Revankar, P.; Gorwar, M.; Hosmath, R. Pedagogical Interventions through Software Tools in Postgraduate Engineering Programme. Journal of Engineering Education Transformations, 2018(31).
Troisi, O., Visvizi, A., y Grimaldi, M. (2023). Rethinking innovation through industry and society 5.0 paradigms: a multileveled approach for management and policy-making. European Journal of Innovation Management, 27(9), pp. 22-51.
Vaca, N.; Garcia-Loro, F.; Martin, S.; Rodriguez-Artacho, M. Raspberry Pi Applications in Electronics and Control Laboratories. In Proceedings of the 2022 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2022, pp. 1709–1713.
Wajid, B.; Ekti, A.R.; AlShawaqfeh, M.K. Ecebuntu-an innovative and multi-purpose educational operating system for electrical and computer engineering undergraduate courses. Electrica, 2018(18), pp. 210–217.
Yılmazlar, E., Kuşçu, H., Erdemir, V., y Güllü, A. (2018). Design Of Stepper Motor Control Interface With Embedded Systems. International Journal of Engineering Research and Development.
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2024 AvaCient
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.