A Virtual Laboratory of D.C. Motors for Learning Control Theory

Abstract

The application of Information and Communication Technologies to education has promoted the development of new educational methodologies that lead to new learning spaces. A particular case, especially in the engineering field, is that of Virtual and Remote Laboratories through the Internet. These are powerful tools that let the student operate on simulated and/or real technological equipment with the only requirements of a PC, a web browser and an Internet connection. In this work, we present a virtual laboratory of an educational set for d.c. motor control, Feedback MS-150, which is widely used as practical equipment in laboratories of introductory control theory courses. A simulation of all the functionalities of the modular equipment was developed in Easy Java Simulation (EJS). The simulation was included in the Remote Laboratory of Automatic Control at the University of León (LRA-ULE), which is managed by a Drupal content management system. Engineering students have regularly used the virtual laboratory and have evaluated it through surveys.

Keywords

d.c. motor e-learning EJS feedback Internet-based teaching virtual laboratory

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References

Toffler

, The Adaptive Corporation (McGraw-Hill, New York, 1985).

Penfield

and Larson

R. C.

, ‘Education via advanced technologies’, IEEE Trans. Educ., 39 (1996), 436–344.

Lareki

Martínez

and Amenábar

, ‘Towards an efficient training of university faculty on ICTs’, Computers & Education, 54 (2010), 491–497.

European Union , Joint declaration of the European ministers of education convened in Bologna on the 19th of June 1999, Bologna, 1999.

Domínguez

Fuertes

J. J.

Reguera

Prada

M. A.

, and Morán

, ‘Inter-University Network of Remote Laboratories’, in Proc. 17th IFAC World Congress, Seoul, 2008.

Vargas

Moreno

J. S.

Jara

C. A.

Candelas

F. A.

Torres

and Dormido

, ‘A network of automatic control web-based laboratories’, IEEE Trans. Learning Technologies, IEEE computer Society Digital Library, IEEE Computer Society (2010).

and Nickerson

J. V.

, ‘Hands-on, simulated and remote laboratories: A comparative literature review’, ACM Surveys, 38 (2006), 1–24.

Fishwick

P. A.

, ‘Web-based simulation: Some personal observations’, in Proc. Winter Simulation Conference, San Diego, 1996, pp. 772–779.

Domínguez

Reguera

and Fuertes

J. J.

, Laboratorio Remoto para la Ensenanza de la Automatica en la Universidad de Leon (Espana), Revista Iberoamericana de Automática e Informática Industrial, 2 (2005), 36–45 (in Spanish).

10.

Dormido

, AutomatL@bs homepage, available at http://lab.dia.uned.es/automatlab/.

11.

Guzmán

J. L.

Domínguez

Berenguel

Fuertes

J. J.

Rodríguez

and Reguera

, ‘Entornos de experimentación para la enseñanza de conceptos básicos de modelado y control,’ Revista Iberoamericana de Automática e Informática Industrial, 7 (2010), 10–22.

12.

Peek

C. S.

Crisalle

O. D.

Depraz

and Gillet

, ‘The Virtual Control Laboratory Paradigm: Architectural Design Requirements and Realisation through a d.c.-motor Example’, Int. J. Eng. Educ., 21 (2005), 1134–1147.

13.

Yeung

and Huang

, ‘Development of a remote-access laboratory: A d.c. motor control experiment’, J. Enging Educ., 52 (2003), 305–311.

14.

Pastor

Martín

Sánchez

and Dormido

, ‘Development of a XML-based lab for remote control experiments on a servo motor’, Int. J. Elect. Enging Educ., 42 (2005), 11.

15.

Esquembre

, ‘Easy Java Simulations: A software tool to create scientific simulations in Java’, Comput. Physics Commun., 56 (2004), 199–204.

16.

Esquembre

, Easy Java Simulations homepage, available at http://www.um.es/fem/EjsWiki/.

17.

Magistris

M.D.

, ‘A MATLAB-based virtual laboratory for teaching introductory quasi-stationary electromagnetics’, IEEE Trans. Educ., 48 (2005), 81–88.

18.

Domínguez

Fuertes

J. J.

Reguera

Prada

M. A.

Alonso

Morán

Friz

and Díez

A. B.

, ‘Tool for instruction and learning on variable speed drives through the Internet’, in Proc. European Control Conference, ECC09, Budapest, Hungary, 2009.

19.

Domínguez

Fuertes

J. J.

Reguera

Prada

M. A.

Alonso

and Morán

, ‘Development of an educational tool in LabVIEW and its integration in remote laboratory of automatic control’, In Proc. 8^th IFAC Symposium on Advances in Control Education (ACE09) (2009).

20.

Christian

and Belloni

, ‘Developing open source programs for science and mathematics’, in Proc. EUROCON 2003. Computer as a tool. The IEEE Region 8, Ljubljana, Slovenia (IEEE, Piscataway, NJ, 2003), pp. 15–19.

21.

Adams

W. K.

Reid

LeMaster

McKagan

S. B.

Perkins

K. K.

Dubson

and Wieman

C. A.

, ‘A study of educational simulations. Part 1. Engagement and learning’, J. Interactive Learning Res., 19 (2008), 397–419.

22.

Moreno

and Kelly

, ‘On motor velocity control by using only position measurements: Two case studies’, Int. J. Elect. Enging Educ., 39(1) (2002), 18–127.

23.

Tadrist

Zeroug

, and Boukais

, ‘Development of brushless d.c. motor drive system for teaching purposes using various PWM control techniques’, Int. J. Elect. Enging Educ., 49(3) (2012), 210–231.

24.

Nickerson

J. V.

Corter

J. E.

Esche

S. K.

and Chassapis

, ‘A model for evaluating the effectiveness of remote engineering laboratories and simulations in education’, Computers and Education, 49 (2007), 708–725.