A New Sensorless Control Design of Induction Motor Based on Backstepping Sliding Mode Approach

Abderrahim Bennassar(1*), Ahmed Abbou(2), Mohammed Akherraz(3)

(1) LEEP, Electric Engineering Department, Mohammed V University, Mohammadia School’s of engineers, Rabat, Morocco
(2) LEEP, Electric Engineering Department, Mohammed V University, Mohammadia School’s of engineers, Rabat, Morocco
(3) LEEP, Electric Engineering Department, Mohammed V University, Mohammadia School’s of engineers, Rabat, Morocco
(*) Corresponding author

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In this paper, we propose a new sensorless control of induction motor (IM). The design of this control is based on backstepping and sliding mode approaches. First, the backstepping control is designed to steer the flux and speed variables to theirs references and to compensate the uncertainties trough appropriate Lyapunov functions. Second, sliding mode controllers (SMC) is used for stator currents control. Finally, we estimate the rotor speed by using the Luenberger observer (LO) and the rotor flux by using the extended Kalman filter (EKF). Simulation results are illustrated and prove the effectiveness of the proposed sensorless control in different working of speed references and against load torque disturbance
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Sensorless Control; Backstepping Control; Sliding Mode Control; Induction Motor; Luenberger Observer; Extended Kalman Filter

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

N. Ezziani, A. Hussain, N. Essounbouli and A. Hamzaoui, Backstepping adaptive type-2 fuzzy controller for induction machine, ISIE, 2008.

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

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

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

J. Maes and J. Melkebeek, Speed sensorless direct torque control of induction motor using an adaptive flux observer, Proc. Of IEEE Trans. Industry Appl, Vol. 36, pp. 778-785, 2000.

S. Belkacem, F. Naceri, A. Betta and L. Laggoune, Speed sensorless of nduction motor based on an improved adaptive flux observer, IEEE Trans. Industry Appl, pp. 1192-1197, 2005.

B. Akin, State estimation techniques for speed sensorless field orient control of induction motors, M.Sc. Thesis EE Dept, METU, 2003.

Sio-Iong Ao Len Gelman, Advances in electrical engineering and computational science lecture, Notes in Electrical Engineering, Vol. 39, Editors, 2009.

YR. Kim, SK. Sul, and MH. Park, Speed sensorless vector control of induction motor, using extended Kalman filter, IEEE Transactions on Industry Applications, Vol. 30(Issue 5):1225- 1233-1994.

KL. Shi, TF. Chan, Y.K. Wong, and S. L. Ho, Speed estimation of an induction motor drive using an optimized extended Kalman filter, IEEE Transactions on Industrial Electronics, Vol. 49:124- 133, 2002.

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.

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.

A. Bennassar, A. Abbou, M. Akherraz, M. Barara, Sensorless backstepping control using an adaptive Luenberger observer with three levels npc Inverter, WASET, International Journal of Electrical Science and Engineering Vol. 7(Issue 8):1102-1108, 2013.

Aydin, M., Gokasan, M., Bogosyan, S., Comparison of two EKF based observers optimized online by both simulated annealing and Big Bang-Big Crunch methods for sensorless estimations in Induction Motor, (2011) International Review on Modelling and Simulations (IREMOS), 4 (5), pp. 2111-2121.


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