Virtual laboratory for sliding mode and PID control of rotary inverted pendulum

Computer Applications in Engineering Education

Volumn 21, Issue 3, 2013, Pages 400-409

  Demirtas, Metin ^a   Altun, Yusuf ^a   Istanbullu, Ayhan ^a  

^a BALIKESIR UNIVERSITY   (Turkey)

Author keywords

PID control; rotary inverted pendulum; sliding mode control; virtual laboratory

Indexed keywords

CONTROL METHODS; GRADUATE STUDENTS; INVERTED PENDULUM; NON-LINEAR DYNAMIC EQUATIONS; PROPORTIONAL INTEGRAL DERIVATIVE CONTROL; ROTARY INVERTED PENDULUMS; UNDER-ACTUATED SYSTEMS; VIRTUAL LABORATORIES;

LABORATORIES; SLIDING MODE CONTROL; STUDENTS; THREE TERM CONTROL SYSTEMS; TOOLS;

DISTANCE EDUCATION;

EID: 84879804368     PISSN: 10613773     EISSN: 10990542     Source Type: Journal    
DOI: 10.1002/cae.20484     Document Type: Article

References (36)

1. M. E. Magana, and, F. Holzapfel, Fuzzy-logic control of an inverted pendulum with vision feedback. IEEE Trans Educ 41 (1998), 165-170.
2. W. Rekdalsbakken, Feedback control of an inverted pendulum with the use of artificial intelligence computational cybernetics. J Adv Comput Int Int Inform 11 (2007), 1114-1121.
3. M. A. Khanesar, M. Teshnehlab, and, M. A. Shoorehdeli, Sliding mode control of rotary inverted pendulum, Mediterranean Conference on Control & Automation, 27-29 June 2007, pp. 1-6.
4. W. Jun-feng, and, L. Chun-tao, Robust output-feedback control of inverted pendulum, Industrial Electronics and Applications, ICIEA 2nd IEEE Conference, 23-25 May 2007, pp. 1027-1030.
5. M. A. Teshnehlab, M. Shoorehdeli, and, M. A. Khanesar, Fuzzy sliding mode control of rotary inverted pendulum, IEEE International Conference on Computational Cybernetics, 19-21 October 2007, pp. 57-62.
6. O. Kaynak, K. Erbatur, and, M. Ertugrul, The fusion of computationally intelligent methodologies and sliding-mode control-A survey. IEEE Trans Ind Electron 48 (2001), 4-12.
7. V. M. Panchade, L. M. Waghmare, B. M. Patre, and, P. P. Bhogle, Sliding mode control of DC drives, Mechatronics and Automation 2007 International Conference, 5-8 August 2007, pp. 1576-1580.
8. V. I. Utkin, Sliding mode control design principles and applications to electric drives. IEEE Trans Ind Electron 40 (1993), 23-36.
9. J. J. E. Slotine, and, W. Li, Applied nonlinear control. Englewood Cliffs, NJ, Prentice-Hall, 1991.
10. C. K. Lai, and, K. K. Shyu, A novel motor drive design for incremental motion system via sliding-mode control method. IEEE Trans Ind Electron 52 (2005), 449-507.
11. F.-J. Lin, L.-T. Teng, and, P.-H. Shieh, Intelligent sliding-mode control using RBFN for magnetic levitation system. IEEE Trans Ind Electron 54 (2007), 1752-1762.
12. A. J. Koshkouei, and, A. S. I. Zinober, Sliding mode controller-observer design for SISO linear systems. Int J Syst Sci 29 (1998), 1363-1373.
13. A. Valera, J. L. Diez, M. Valles, and, P. Albertos, Virtual and remote control laboratory development. IEEE Control Syst Mag 25 (2005), 35-39.
14. H. A. Basher, and, S. A. Isa, On-campus and online virtual laboratory experiments with LabVIEW, Proceedings of the IEEE Southeast Conference, March 31-April 2 2005, pp. 325-330.
15. H. A. Basher, S. A. Isa, and, M. A. Henini, Virtual laboratory for electrical circuit course, IEEE Southeast Conference Proceedings, Greensboro, North Carolina, March 26-29, 2004, pp. 330-334.
16. C. H. Ko, B. M. Chen, V. Ramakrishnan, C. D. Cheng, Y. Zhuang, and, J. Chen, A web-based virtual laboratory on a frequency modulation experiment, IEEE Trans Syst Man, and Cyber-Part C: Applications and Reviews, Vol. 31, No. 3, August 2001, pp. 295-303.
17. M. C. Plummer, C. Bittle, and, V. Karani, A circuit II laboratory accessible by Internet. Proc Am Soc Eng Educ (2002). http://soa.asee.org/paper/ conference/paper-view.cfm?id=16769.
18. C. Salzmann, D. Gillet, and, P. Huguenin, Introduction to real-time control using LabVIEW with an application to distance learning. Int J Eng Educ 16 (2000), 255-272.
19. L. Foulloy, R. Boukezzoula, and, S. Galichet, An educational tool for fuzzy control. IEEE Trans Fuzzy Syst 14 (2006), 217-221.
20. C. Elmas, and, M. A. Akcayol, PC based educational tool for a switched reluctance drive with fuzzy logic. Int J Electr Eng Educ 40 (2003), 208-219.
21. P. Thepsatoml, A. Numsomran, V. Tipsuwanpo, and, T. Teanthong, DC motor speed control using fuzzy logic based on LabVIEW, SICE-ICASE International Joint Conference, Bexco, Busan, Korea, 18-21 October 2006, pp. 3617-3620.
22. H. Guruler, A. Istanbullu, O. N. Yigitbasi, and, O. K. Ersoy, Virtual instrument application in industry and data acquisition (In Turkish), International VII. Turkish Symposium on Artificial Intelligence and Neural Networks, Canakkale-Turkey, July 2-4 2003, pp. 69-71.
23. A. A. Rodriguez, R. P. Metzger, O. Cifdaloz, and, T. Dhirasakdanon, Description of a modeling, simulation, animation, and real-time control (MoSART) environment for a class of electromechanical systems. IEEE Trans Educ 48 (2005), 359-374.
24. D. Gillet, H. A. Latchman, Ch. Salzmann, and, O. D. Crisalle, Hands-on laboratory experiments in flexible and distance learning. Int J Eng Educ 90 (2001), 187-191.
25. C. C. Ko, B. M. Chen, J. Chen, Y. Zhuang, and, K. Chen Tan, Development of a web-based laboratory for control experiments on a coupled tank apparatus. IEEE Trans Educ 44 (2001), 76-86.
26. A. See, Rapid prototyping design and implementation of a motion control integrated with an inexpensive machine vision system, IMTC-Instrumentation and Measurement Technology Conference Ottawa, Canada, 17-19 May 2005, pp. 2065-2070.
27. A. Istanbullu, and, I. Guler, Multimedia based medical instrumentation course in biomedical engineering. J Med Syst 28 (2004), 447-454.
28. M. Demirtas, Y. Altun, and, A. Istanbullu, An educational virtual laboratory for sliding mode and PID control of inverted pendulum, IEEE 11th international conference on optimization of electrical and electronic equipment OPTIM'08, Brasov, Romania, 22-24 May, 2008, pp. 149-156.
29. Z. Wang, Y. Chen, and, N. Fang, Minimum-Time Swing-up of a rotary inverted pendulum by iterative impulsive control, Proceedings of the American Control Conference, Vol. 6, June 30-July 2, 2004, pp. 1335-1340.
30. M. Huba, and, M. Simunek, Modular approach to teaching PID control. IEEE Trans Ind Electron 54 (2007), 3112-3121.
31. R. Dormido, H. Vargas, N. Duro, J. Sanchez, S. Dormido-Canto, G. Farias, F. Esquembre, and, S. Dormido, Development of a web-based control laboratory for automation technicians: The three-tank system. IEEE Trans Educ 51 (2008), 35-44.
32. Y. Altun, Application of hierarchical sliding mode control to inverted pendulum systems, Master Thesis, Department of Electrical Electronics Engineering, Balikesir University, 2008.
33. I. Senol, M. Demirtas, S. Rustemov, and, B. Gumus, Position control of induction motor a new-bounded fuzzy sliding mode controller. COMPEL 24 (2005), 145-157.
34. S. V. Ustun, and, M. Demirtas, Optimal tuning of PI coefficients by using fuzzy-genetic for V/f controlled induction motor. Exp Syst Appl 34 (2008), 2714-2720.
35. S. Rustemli, M. Yilmaz, and, M. Demirtas, Ripple reduction at speed and torque of step motors used on a two-axis robot arm. Robot Comput Integr Manuf (2010), DOI: 10.1016/j.rcim.2010.05.003.
36. M. Demirtaş, DSP-based sliding mode speed control of induction motor using neurogenetic structure. Exp Syst Appl 36 (2009), 5533-5540.