Design and implementation of an interval Type-2 Fuzzy Logic and type-1 fuzzy logic controls for Magnetic Levitation System
The aim of this paper is the synthesis of an interval type-2 fuzzy logic PID and type-1 fuzzy logic controllers for magnetic levitation system to keep a metal ball suspended in mid-air by changing the field strength of an electromagnet coil, Performances of the suggestion controller are estimated and compared that controller with those of type-1 fuzzy logic PID controller by using the same structure and under similar operating conditions. Simulation results showed that the interval type-2 fuzzy logic PID controller has better performances than those of type-1fuzzy logic PID controller. The parameters of PID controller have been modifying through particle swarm optimization (PSO).The simulation of magnetic levitation system based on its Mathematical model is carried out in MATLAB.
. El-Nagar AM, El-Bardini M (2014) Practical implementation for the interval type-2 fuzzy PID controller using a low cost microcontroller. Ain Shams Eng J 5:475–487
. H. Hagras, " A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots," IEEE Transactions on Fuzzy systems, vol. 12, pp. 524-539, Aug. 2004
. Wu D, Tan WW (2004) A type-2 fuzzy logic controller for the liquid-level process. In: IEEE international conference on fuzzy systems, 2004 proceedings, vol 2, pp 953–958
. Hagras H (2004) A type-2 fuzzy logic controller for autonomous mobile robots. In: IEEE international conference on fuzzy systems, 2004 proceedings, vol 2, pp 965–970
. Barkati S, Berkouk EM, Boucherit MS (2008) Application of type-2 fuzzy logic controller to an induction motor drive with seven-level diode-clamped inverter and controlled infeed. Electr Eng 90(5):347–359
. Barkat S, Nouri H, Tlemcani A (2011) Noninteracting adaptive control of PMSM using Interval Type-2 Fuzzy Logic Systems. IEEE Trans Fuzzy 19(5):925–936
. Lynch C, Hagras H, Callaghan V (2006) Using uncertainty bounds in the design of an embedded realtime type-2 neuro-fuzzy speed controller for marine diesel engines. In: IEEE international conference on fuzzy systems, pp 1446–1453
. Flores W, Mombello E, Jardini J, Ratta G (2008) A novel algorithm for the diagnostics of power transformers using type-2 fuzzy logic systems. In: Transmission and distribution conference and exposition, IEEE/PES, Bogota, Colombia, pp 1–5
. N.N Karnik and J. M. Mendel, "An introduction to type-2 fuzzy logic systems," USC report http://sipi.usc.edu/-mendel/report, Oct. 1998
pp. I 17-127, Apr. 2002.
. J. M. Mendel and R. I. 8. John, "Type-2 fuzzy sets made simple," IEEE Trans. FuzzySyst., vol. 10, no. 2, pp. I 17-127, Apr. 2002.
. W. Du and W. Tan, " Type-2 FLS modeling capability analysis," Proceedings of the iEEE international conference of fuzzy systems, pp. 242-247, Reno, USA, May 2005
Syst., vol. 8, no. 5, pp.535- 550, Oct. 2000
. N. N. Karnik, J. M. Mendel, and Q. Liang, "Type-2 fuzzy logic systems," IEEE Trans. Fuzzy Syst., vol. 7, pp. 643-658, Dec. 1999.
. N. N Karnik and J. M. Mendel, "Centroid of a type-2 fuzzy set," information SCiences, Vol. 132, pp.l95-220, Feb. 2001.
. J. M. Mendel, H. Hagras and Robert I. John, "Standard background material about interval type-2 fuzzy logic systems that can be used by all authors," www.ieee-cis.org/ files/standards
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