Comparative Study between Fuzzy Logic Control and Sliding Mode Control for Optimizing the Speed Deportment of a Three Phase Induction Motor
This work presents a comparative study between two controller techniques in order to improve the speed behavior of a three phase induction motor. These two techniques are the Sliding Mode Control and the Fuzzy Logic Control. In order to highlight the performance of each technique, both controllers have been tested on the same system. All the results quoted in this work are found using MATLAB-Simulink. The system was put in different working condition to compare the performance of the two controllers. The results are presented and discussed.
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F.Blaschke, The principle of field oriented as applied to the new Tran vector closed-loop control system for rotating machine. Siemens Review. vol.39, N°4, pp.217-220
H. Ying, Fuzzy Control and Modeling, 2000, IEEE Press: New York.
H.Ying, Conditions for general Mamdani fuzzy controllers to be nonlinear. NAFIPS Annu. Meeting, 2002, pp. 201–203.
C. Edwards, K. S. Spurgeon, Sliding mode control - Theory and application, 1998, Taylor & Francis,.
W. Perruquetti, J. P. Barbot, Sliding mode control in engineering, Control Engineering Series, 2002, Marcel Dekker Inc.
A.L. Nemmour, F. Mehazzem, A. Khezzar, M. Hacil, L. Louze, R. Abdessemed, "Nonlinear control of induction motor based on the combined multi-scalar machine model and backstepping approach", Industrial Electronics. (IECON) 35th Annual Conference of IEEE, Pp. 4203-4208, 2009.
A.Lagrioui; H.Mahmoudi; “Current and Speed Control for a PMSM Using a Sliding Mode Control”, 2010 IEEE 16th International Symposium for Design and Technology in Electronic Packaging (SIITME), Pitesti, Romania.
N.Bounar, A. Boulkroune, F.Boudjema, M. M'Saad, M. Farza,. Adaptive fuzzy vector control for a doubly-fed induction motor. Neurocomputing, vol.151, no.2, pp. 756-769.
A. Haj-Ali, H. Ying, Structural analysis of fuzzy controllers with nonlinear cinput fuzzy sets in relation to nonlinear PID control with variablegains. Automatica. vol. 40, no. 9, pp. 1551–1559.
L. Morel, H. Godfroid, A. Mirzaian, J.M. Kauffmann, "Double fed induction machine: converter optimization and field oriented control without position sensor", IEEProc. Electr. PowerAppl, vol.145, no.4, pp.360–368, 1998.
L.Zadeh. Fuzzy Sets. Information and Control, vol. 8,1965 pp. 338-353
E.H.Mamdani. Application of fuzzy algorithms for control of simple dynamic plant. Electrical Engineers. Proceedings of the Institution.Vol.121, no. 12, 1974, pp. 1585- 1588.
V.I Utkin, Sliding mode and their application in sliding mode systems. 1978. Edition MIR, Moscou.
Parvat B. J., Jadhav V. K., Lokhande N. N. “Design and Implementation of Sliding Mode Controller for Level Control”, IOSR Journal of Electronics and Communication Engineering (IOSR-JECE); ISSN : 2278-2834, ISBN : 2278-8735, PP : 51-54.
Meo, S., Sorrentino, V., Zohoori, A., Vahedi, A., Second-Order Sliding Mode Control of a Smart Inverter for Renewable Energy System, (2014) International Review of Electrical Engineering (IREE), 9 (6), pp. 1090-1096.
Meo, S., Sorrentino, V., Discrete-time integral variable structure control of grid-connected PV inverter, (2015) Journal of Electrical Systems, 11 (1), pp. 102-116.
Santolo, M., Vincenzo, S., Discrete–time integral sliding mode control with disturbances compensation and reduced chattering for PV grid–connected inverter, (2015) Journal of Electrical Engineering, 66 (2), pp. 61-69.
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