SLIDING MODE CONTROLLER FOR MAGNETIC LEVITATION SYSTEM COMPARATIVES STUDIES
DOI:
https://doi.org/10.4314/jfas.v13i1.19Keywords:
magnetic levitation, robustness, PID, fuzzy logic, sliding mode.Abstract
The objective of this paper is to synthesize a regulator based on sliding modes for the control of a magnetic levitation system and to compare the performances of this type of regulator with other regulators namely: PID, fuzzy regulator.
The simulation results show the merits of the sliding mode technique since it is robust against disturbances and parameter changes in the model. The advantages and disadvantages of each regulator are outlined in the form of a simulation curves.
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References
[1] MIDDALA JR, (2007), Modeling and Analysis of Magnetic Levitation System Using Fuzzy Logic Control. International Journal of Scientific Development and Research (IJSDR), Volume 2, Issue 6, June 318-323.
[2] YADAV S, TIWARI JP, NAGAR SK, (2012) Digital Control of Magnetic Levitation System using Fuzzy Logic Controller International Journal of Computer Applications (ISBN:0975 8887), Vol 41, No.21, 22-25
[3] Yang Z.J., Miyazaki K., Kanae S., and Wada K., Robust position control of a magnetic levitation system via dynamic surface control technique, IEEE Transaction on Industrial Electronic, Vol.51, No.1, 2004, pp.26-34.
[4] Ahmad I., Javaid M.A., Nonlinear model & Controller Design for magnetic levitation system, in Proceeding of the 9th WSEAS International Conference on Signal Processing, Robotics and Automation (ISPRA ‘10), 2010, pp. 324 -328. [5] Gazdos F., Dostal P., and Marholt J., Robust control of unstable systems: algebraic approach using sensitivity functions, International Journal of Mathematical Models and Methods in Applied Sciences, Issue 7, Vol.5, 2011, pp. 1189-1196.
[6] I.MEDJHOU I, OUAKAF I, (2020) Magnetic levitation control using fuzzy logic and PID Engineering thesis in Automatics, Higher School of Applied Sciences- Tlemcen, Algeria.
[7] SHTESSEL Y, EDWARDS C, FRIDMAN L, LEVANT A, (2014) Sliding Mode Control and Observation, Springer Science + Business Media New York.
[8] FALLAHAH C, Etude de la commande par mode de glissement sur les systèmes mono et multi variables l'Ecole de Technologie Supérieure, Université du Québec, 2007.
[2] YADAV S, TIWARI JP, NAGAR SK, (2012) Digital Control of Magnetic Levitation System using Fuzzy Logic Controller International Journal of Computer Applications (ISBN:0975 8887), Vol 41, No.21, 22-25
[3] Yang Z.J., Miyazaki K., Kanae S., and Wada K., Robust position control of a magnetic levitation system via dynamic surface control technique, IEEE Transaction on Industrial Electronic, Vol.51, No.1, 2004, pp.26-34.
[4] Ahmad I., Javaid M.A., Nonlinear model & Controller Design for magnetic levitation system, in Proceeding of the 9th WSEAS International Conference on Signal Processing, Robotics and Automation (ISPRA ‘10), 2010, pp. 324 -328. [5] Gazdos F., Dostal P., and Marholt J., Robust control of unstable systems: algebraic approach using sensitivity functions, International Journal of Mathematical Models and Methods in Applied Sciences, Issue 7, Vol.5, 2011, pp. 1189-1196.
[6] I.MEDJHOU I, OUAKAF I, (2020) Magnetic levitation control using fuzzy logic and PID Engineering thesis in Automatics, Higher School of Applied Sciences- Tlemcen, Algeria.
[7] SHTESSEL Y, EDWARDS C, FRIDMAN L, LEVANT A, (2014) Sliding Mode Control and Observation, Springer Science + Business Media New York.
[8] FALLAHAH C, Etude de la commande par mode de glissement sur les systèmes mono et multi variables l'Ecole de Technologie Supérieure, Université du Québec, 2007.
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Published
2020-11-02
How to Cite
MERAD, L.; MERAD, L.; MEDJHOUD, I. E.; OUAKAF, A. SLIDING MODE CONTROLLER FOR MAGNETIC LEVITATION SYSTEM COMPARATIVES STUDIES. Journal of Fundamental and Applied Sciences, [S. l.], v. 13, n. 1, p. 356–384, 2020. DOI: 10.4314/jfas.v13i1.19. Disponível em: https://jfas.info/index.php/JFAS/article/view/935. Acesso em: 30 jan. 2025.
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