Web-Assisted Laboratory for Control Education: Remote and Virtual Environments

The Web Assisted Laboratory for Control (WALC) engineering on-line education is described. This on-line platform was developed by a multidisciplinary team. WALC enables the access to several virtual and remote laboratories experiences on automation, process control and numerical methods. The virtual environment enables the registered user to test different control systems (hydraulic, mechanical, electrical) working in open and close loop. This environment is simulated based on the numerical solutions of the differential equations that describe the real world systems. An industrial automation network is available allowing the user to test different programs running on PLCs. The remote access to the platform is confined to pre-registered users and under a booking system ensuring that only the registered user is on-line. Other functionalities are depicted. Based on user’ feedback analysis, and since this platform was developed as a dynamic learning tool, their needs are fulfilled.

[1]  Denis Gillet,et al.  The Electronic Laboratory Journal: A Collaborative and Cooperative Learning Environment for Web-Based Experimentation , 2005, Computer Supported Cooperative Work (CSCW).

[2]  Celina Pinto Leão,et al.  BakSIM : an application for control, monitoring and simulation of baker's yeast fermentation process , 2006 .

[3]  Vítor H. Carvalho Remote PID Control of a DC Motor , 2007, Int. J. Online Eng..

[4]  M. H. Shor,et al.  Access to an instructional control laboratory experiment through the World Wide Web , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

[5]  Vítor H. Carvalho,et al.  Remote System of Temperature Monitoring and Control , 2008, Int. J. Online Eng..

[6]  Celina Pinto Leão,et al.  Automation and Control Engineering Laboratory: Students Perspectives , 2010 .

[7]  D. Fina,et al.  Training simulators enhance process control education , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[8]  Douglas M. Considine,et al.  Standard Handbook of Industrial Automation , 1987 .

[9]  D. Poulis,et al.  Computer Assisted Learning for Automatic Control , 1997 .

[10]  Mark W. Spong,et al.  Report on the NSF/CSS Workshop on new directions in control engineering education , 1999 .

[11]  Kang Lee Sensor networking and interface standardization , 2001, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188).

[12]  Celina Pinto Leão,et al.  Design and Development of an Industrial Network Laboratory , 2011, iJET.

[13]  Lawrence A. Crowl,et al.  Running Control Engineering Experiments Over the Internet , 1996 .

[14]  Tony Owen Standard Handbook Of Industrial Automation edited by Douglas M. Considine and Glenn D. Considine Chapman and Hall Advanced Industrial Technology Series, New York, 01 1987. (£79.50) , 1988, Robotica.

[15]  Max Felser,et al.  Real-Time Ethernet - Industry Prospective , 2005, Proceedings of the IEEE.

[16]  P. Horacek Laboratory Experiments for Control Theory Courses: A Survey , 2000 .

[17]  B. S. Heck,et al.  Using the Web in your courses: what can you do? what should you do? , 1999 .

[18]  Filomena Soares,et al.  Students' perception on using WALC platform for Automation and Process Control engineering studies , 2011, 2011 14th International Conference on Interactive Collaborative Learning.