journal article·2020-12-18Open access

A Hands-On Laboratory for Intelligent Control Courses

Hugo Torres-Salinas, Juvenal Rodríguez-Reséndiz, Adyr A. Estévez-Bén, M. A. Cruz Pérez, P. Y. Sevilla-Camacho, Gerardo I. Perez-Soto

Applied Sciences· Volume 10· Issue 24

Abstract

This research focused on developing a methodology that facilitates the learning of control engineering students, specifically developing skills to design a complete control loop using fuzzy logic. The plant for this control loop is a direct current motor, one of the most common actuators used by educational and professional engineers. The research was carried out on a platform developed by a group of students. Although the learning techniques for the design and implementation of controllers are extensive, there has been a delay in teaching techniques that are relatively new compared to conventional control techniques. Then, the hands-on laboratory offers a tool for students to acquire the necessary skills in driver tuning. In addition to the study of complete systems, the ability to work in a team is developed, a fundamental skill in the professional industrial area. A qualitative and quantitative analysis of student learning was carried out, integrating a multidisciplinary project based on modern tools.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Experimental Learning in Engineering · Mechatronics Education and Applications · Industrial Automation and Control Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Facultad de Informática, Universidad Autónoma de Querétaro, Nuevo Juriquilla, Juriquilla, Querétaro 76230, Mexico

Facultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas, Las Campanas, Querétaro 76010, Mexico

Facultad de Química, Universidad Autónoma de Querétaro, Cerro de las Campanas, Las Campanas, Querétaro 76010, Mexico

División de Posgrado, Universidad del Valle de México, Querétaro 76230, Mexico

Ingeniería Mecatrónica, Universidad Politecnica de Chiapas: Suchiapa, Chiapas 29150, Mexico

References (48)

Show source-provided references
1. Competence-driven engineering education: A case for T-shaped engineers and teachers
2. Uskov, V., Bakken, J.P., Aluri, L., Rachakonda, R., Rayala, N., and Uskova, M. (2018, January 11–14). Smart pedagogy: Innovative teaching and learning strategies in engineering education. Proceedings of the 2018 IEEE World Engineering Education Conference (EDUNINE), Buenos Aires, Argentina.10.1109/EDUNINE.2018.8450962 ↗
3. Choi, Y., and McClenen, C. (2020). Development of adaptive formative assessment system using computerized adaptive testing and dynamic bayesian networks. Appl. Sci., 10.10.3390/app10228196 ↗
4. Crawley, E., Malmqvist, J., Ostlund, S., Brodeur, D., and Edström, K. (2014). Rethinking Engineering Education: The CDIO Approach, Springer.10.1007/978-3-319-05561-9 ↗
5. Epistemic practices of engineering for education
6. The role of the laboratory in undergraduate engineering education10.1002/j.2168-9830.2005.tb00833.x ↗
7. A model of empathy in engineering as a core skill, practice orientation, and professional way of being10.1002/jee.20159 ↗
8. The imperative to move toward a dimension of care in engineering education10.1002/tea.21458 ↗
9. It takes a village: The role of emic and etic adaptive strengths in the persistence of black men in engineering graduate programs10.3102/0002831218789595 ↗
10. Yang, Y. (2014, January 14–15). Discussion on the teaching reform of the automatic control theory. Proceedings of the 3rd International Conference on Science and Social Research, Tianjin, China.10.2991/icssr-14.2014.306 ↗
11. Cheng, H., Hao, L., Luo, Z., and Wang, F. (2016). Establishing the connection between control theory education and application: An arduino based rapid control prototyping approach. Int. J. Learn. Teach., 2.10.18178/ijlt.2.1.67-72 ↗
12. How science, technology, engineering, and mathematics (STEM) project-based learning (PBL) affects high, middle, and low achievers differently: The impact of student factors on achievement10.1007/s10763-014-9526-0 ↗
13. Trusty, J., and Niles, S.G. (2003). High-School Math Courses and Completion of the. [Bachelor’s Degree. Bachelor’s Thesis, Professional School Counseling].
14. Academic backgrounds and achievement in college physics10.1119/1.2343848 ↗
15. The determinants of performance in an accountancy degree programme10.1080/096392899331017 ↗
16. Niveles de desempeño y actitudes hacia las matemáticas en estudiantes de la licenciatura en administración en una universidad estatal mexicana
17. Zamfiroiu, A., Constantinescu, D., Zurini, M., and Toma, C. (2020). Secure learning management system based on user behavior. Appl. Sci., 10.10.3390/app10217730 ↗
18. Moradi, M.H., Katebi, M.R., and Johnson, M.A. (2002, January 18–20). Robust MIMO PID tuning method. Proceedings of the International Conference on Control Applications, Glasgow, UK.
19. Fuzzy control of self-balancing robots: A control laboratory project10.1002/cae.22219 ↗
20. Kalman filter for mobile-robot attitude estimation: Novel optimized and adaptive solutions10.1016/j.ymssp.2018.03.053 ↗
21. Odry, A., and Fuller, R. (2018, January 17–19). Comparison of optimized PID and fuzzy control strategies on a mobile pendulum robot. Proceedings of the 2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI), Timisoara, Romania.10.1109/SACI.2018.8440947 ↗
22. The objectives, architectures and effects of distance learning laboratories for industrial engineering education10.1016/j.compedu.2013.07.011 ↗
23. Automation and control remote laboratory: A pedagogical tool10.7227/IJEEE.51.1.5 ↗
24. Student usage of a learning management system at an open distance learning institute: A case study in electrical engineering10.1177/0020720915575925 ↗
25. Remote refrigeration system experiments for control engineering education10.1002/cae.21810 ↗
26. Parkhomenko, A., Parkhomenko, A., Tabunshchyk, G., Henke, K., and Wuttke, H.D. (2018, January 18–22). The remote labs as an effective tool of inclusive engineering education. Proceedings of the 2018 XIV-th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH), Lviv, Ukraine.10.1109/MEMSTECH.2018.8365735 ↗
27. Simulation-based learning in engineering education: Performance and transfer in learning project management10.1002/j.2168-9830.2006.tb00904.x ↗
28. New simulation tool for teaching-learning processes in engineering education10.1002/cae.21807 ↗
29. The role of digital modeling and simulation in power engineering education10.1109/TPWRS.2003.821002 ↗
30. Virtual laboratories in engineering education: The simulation lab and remote lab10.1002/cae.20186 ↗
31. Virtual reality systems enhance students’ achievements in engineering education10.1080/0144929X.2016.1212931 ↗
32. Salah, B., Abidi, M., Mian, S., Krid, M., Alkhalefah, H., and Abdo, A. (2019). Virtual reality-based engineering education to enhance manufacturing sustainability in industry 4.0. Sustainability, 11.10.3390/su11051477 ↗
33. Franzoni, V., Milani, A., Mengoni, P., and Piccinato, F. (2020). Artificial intelligence visual metaphors in E-Learning interfaces for learning analytics. Appl. Sci., 10.10.3390/app10207195 ↗
34. A multidisciplinary industrial robot approach for teaching mechatronics-related courses10.1109/TE.2017.2741446 ↗
35. Field-programmable gate array-based laboratory oriented to control theory courses10.1002/cae.22149 ↗
36. Inelmen, E., Inelmen, E., and Ibrahim, A.A. (2003). A new approach to teaching fuzzy logic system design. Fuzzy Sets and Systems—IFSA 2003, Proceedings of the 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, 30 June–2 July 2003, Springer. Lecture Notes in Computer Science.10.1007/3-540-44967-1_8 ↗
37. An educational tool for fuzzy logic controller and classical controllers10.1002/cae.20007 ↗
38. An undergraduate fuzzy logic control lab using a line following robot10.1002/cae.20347 ↗
39. A type-2 fuzzy logic recommendation system for adaptive teaching10.1007/s00500-015-1826-y ↗
41. Design and analysis of fuzzy identifiers of nonlinear dynamic systems10.1109/9.362903 ↗
42. Amendola, C.A.M., and Gonzaga, D.P. (2007, January 20–24). Fuzzy-logic control system of a variable-speed variable-pitch wind-turbine and a double-fed induction generator. Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007), Rio de Janeiro, Brazil.10.1109/ISDA.2007.110 ↗
43. Application of fuzzy algorithms for control of simple dynamic plant10.1049/piee.1974.0328 ↗
44. Fuzzy identification of systems and its applications to modeling and control10.1109/TSMC.1985.6313399 ↗
45. Control mediante lógica difusa
46. Implementation of a new fuzzy vector control of induction motor10.1016/j.isatra.2014.02.005 ↗
47. Torres, H. (2020, November 29). DAQ for Fuzzy Controller. Available online: https://github.com/Htorres07/FuzzyController/tree/main/DAQ.
48. Torres, H. (2020, November 29). GUI for Fuzzy Controller. Available online: https://github.com/Htorres07/FuzzyController/tree/main/GUI.