Remote Lab for Electric Drives

first design of remote laboratory for electric drives is presented. The described remote lab is based on custom developed motor control hardware and two commercially available software packages i.e. MATLAB/Simulink and LabVIEW. MATLAB/Simulink is used for experiment control algorithm development and LabVIEW for graphical user interface creation and remote operation. A combination of the presented hardware and software solutions enables quick and easy development of different remote control experiments. An article is supplemented by an example of a remote DC motor control. I. INTRODUCTION Classical hands-on laboratories are usually fully occupied, therefore, students have to conclude their research in the time offered for experimental work. This problem can be reduced using remote experiments. When using remote experiments students operate with the real system although they are not physically present in the laboratory. Such a solution presents a cost-effective way of opening up a laboratory for students 24 hours a day. Although remote experiments seem to be very useful, a lot of hard work is needed when setting them up. Designers must be acquainted with the web server's operation, Java programming, CGI scripts, etc. In contrast, using the solution described in the present article, remote experiments can be developed quickly and with minimal effort. The presented remote lab solution relies on a DSP- 2 motor controller developed by the Faculty of Electrical

[1]  Fernando Morilla,et al.  A Java/Matlab-based environment for remote control system laboratories: illustrated with an inverted pendulum , 2004, IEEE Transactions on Education.

[2]  M. Casini,et al.  The automatic control telelab , 2004, IEEE Control Systems.

[3]  Ingvar Gustavsson Laboratory Experiments in Distance Learning , 2001 .

[4]  Milan Curkovic,et al.  Programming of the DSP2 board with the Matlab/Simulink , 2003, IEEE International Conference on Industrial Technology, 2003.

[5]  K. Jezernik,et al.  Experimental control learning based on DSP2 learning module , 2004, 2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04..