A Comparative Study of IP, Fuzzy Logic and Sliding Mode Controllers in a Speed Vector Control of Induction Motor

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This paper presents a comparative study of an indirect field oriented control (IFOC) of induction motor (IM) using integral-proportional (IP), fuzzy logic (FLC) and sliding mode (SMC) controllers for speed regulation. The traditional integral-proportional controller is sensitive to the load torque disturbances.
To overcome this problem, a fuzzy logic and sliding mode controllers replace IP controller are proposed. The effectiveness of the IP, fuzzy logic and sliding mode controllers was tested under different conditions such as reference speed and load torque disturbances. The simulation results demonstrate that the proposed controllers are better robust than the traditional IP controller.

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Traditional IP Controller; Fuzzy Logic Controller; Sliding Mode Controller; Indirect Field Oriented Control; Induction Motor

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F. Blaschke, The principle of field orientation applied to the transvector closed loop control system for rotating field machines, Siemens Rev, Vol. 34:217-220, 1972.

A. Abbou, T. Nasser, H. Mahmoudi, M. Akherraz, A. Essadki, Induction motor controls and implementation using dspace, WSEAS Transactions on Systems and Control, Vol. 7: 26-35, 2012.

LA. Zadeh, Fuzzy sets, Information and Control, Vol. 8: 338-353, 1965.

C. Vecchio, Sliding mode control: theoretical developments and applications to uncertain mechanical system, Degli Studi Pavia University.

Y. Bekakra, D. Ben Attous, Comparison between fuzzy sliding mode and traditional IP controllers in a speed control of a doubly fed induction motor, Ecti Transactions on Electrical Eng., Electronics, and Communications, Vol. 10(Issue 2):189-197, 2010.

V. Peter, Sensorless vector and direct torque control, Oxford New York Tokyo: Oxford University Press, 1998.

V. Utkin V, Variable structure systems with sliding modes, IEEE Transactions on Automatic Control, Vol. 22(Issue 2):212–222, 1977.

JJE. Slotine JJE, W. Li, Applied nonlinear control, New Jersey: Prentice-Hall, Inc, 1991.

Bennassar, A., Abbou, A., Akherraz, M., Barara, M., Fuzzy logic speed control for sensorless indirect field oriented of induction motor using an extended Kalman filter, (2013) International Review of Automatic Control (IREACO), 6 (3), pp. 332-339.

Lalalou, R., Bahi, T., Bouzekri, H., Sensorless indirect vector controlled induction motor using fuzzy logic control of speed estimation and stator resistance adaptation, (2010) International Review on Modelling and Simulations (IREMOS), 3 (3), pp. 325-330.

Salehi, S.J., Manoochehri, M., A nonlinear sliding mode control of induction motor based on second order speed and flux sliding mode observer, (2011) International Review on Modelling and Simulations (IREMOS), 4 (3), pp. 1057-1065.

B. Sahu, KB. Mohanty, S. Pati, A comparative study on fuzzy and PI speed controllers for field-oriented induction motor drive, In: International Conference on Industrial Electronics, Control and Robotics, Orissa, India, 191-196, 27-29 Dec 2010.

S. Mahieddine Mahmoud , R. Ramanou, L. Kefsi, L. Chrifi Alaoui, Sliding mode control: a new contribution using an integral action in the boundary layer, IEEE International Conference on Industrial Technology, Mumbai, 681-686, 15-17 Dec 2006.

M. M. Krishan, Fuzzy sliding mode control with MRAC technique applied to an induction motor drives, (2008) International Review of Automatic Control (IREACO), 1(1), pp. 42-48.


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