Research Article

Virtual lab for artificial intelligence controllers based speed control for induction motor

Number: 14 December 31, 2018
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Virtual lab for artificial intelligence controllers based speed control for induction motor

Abstract

Practical implementation has an important role in engineering education. Practical implementations, however, may not be possible in some situations, such as lack of physical possibilities, the presence of situations that may create risks during implementation, or place-time dependence. So, package programs are developed for the virtual practical implementation experience. On the other hand, these tools may not be flexible and interactive enough for all branches of science. Therefore, in this study a virtual laboratory tool was developed for the speed control of an induction motor fed by a three-level inverter. The user can select proportional-integral, proportional–integral–derivative, fuzzy logic, artificial neural network, and neuro-fuzzy controllers for the speed controller. Different working conditions for the induction motor can be simulated and the outcomes can be observed by the users. The virtual laboratory had a flexible interface and it was written on Microsoft Visual Studio 2015 IDE using C# programming language on Windows Presentation Foundation infrastructure.

Keywords

References

  1. Deperlioğlu, Ö., Köse, U. 2011. An educational tool for artificial neural networks. Computers & Electrical Engineering, 37(3): 392–402, 2011. DOI:10.1016/j.compeleceng.2011.03.010
  2. Sevgi, L. 2006. Modeling and simulation concepts in engineering education: virtual tools. Turkish Journal of Electrical Engineering & Computer Sciences, 14(1): 113–127, 2006.
  3. Öztürk, N., Çelik, E. 2014. An educational tool for the genetic algorithm-based fuzzy logic controller of a permanent magnet synchronous motor drive. International Journal of Electrical Engineering Education, 51(3): 218–231, 2014. DOI:10.7227/ijeee.51.3.4
  4. Potkonjak V., Gardner, M., Callaghan, V., Mattila, P., Guetl, C., Petrović, VM., Jovanović, K. 2016. Virtual laboratories for education in science, technology, and engineering: A review. Computers & Education, 95: 309–327, 2016. DOI:10.1016/j.compedu.2016.02.002
  5. Keyhani, MN., Marwali, LE., Higuera, G., Athalye, G., Baum-gartner. 2002. An integrated virtual learning system for the development of motor drive systems. IEEE Trans.on Power Systems, 17(1): 1–6, 2002. DOI:10.1109/59.982185
  6. Köse, U., Deperlioğlu, Ö. 2015. FL-LAB v2: Design and Development of an Easy-to-Use, Interactive Fuzzy Logic Control Software System. Applied Mathematics & Information Sciences, 9(2): 883–897, 2015. DOI:10.12785/amis/090237
  7. Avouris, NM., Tselios, N., Tatakis, EC. 2001. Development and evaluation of a computer-based laboratory teaching tool. Computer Applications in Engineering Education, 9(1): 8–19, 2001. DOI:10.1002/cae.1001
  8. Kayıslı, K., Tuncer, S., Poyraz, M. 2013. An educational tool for fundamental DC–DC converter circuits and active power factor correction applications. Computer Applications in Engineering Education, 21(1): 113-134, 2013. DOI:10.1002/cae.20455

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

December 31, 2018

Submission Date

July 13, 2018

Acceptance Date

October 24, 2018

Published in Issue

Year 2018 Number: 14

APA
Bingöl, O., & Paçacı, S. (2018). Virtual lab for artificial intelligence controllers based speed control for induction motor. Avrupa Bilim Ve Teknoloji Dergisi, 14, 29-36. https://doi.org/10.31590/ejosat.443601