Sensorless Backstepping Control Using an Adaptive Luenberger Observer with Three Levels NPC Inverter
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Sensorless Backstepping Control Using an Adaptive Luenberger Observer with Three Levels NPC Inverter

Authors: A. Bennassar, A. Abbou, M. Akherraz, M. Barara

Abstract:

In this paper, we propose a sensorless backstepping control of induction motor (IM) associated with three levels neutral clamped (NPC) inverter. First, the backstepping approach is designed to steer the flux and speed variables to theirs references and to compensate the uncertainties. A Lyapunov theory is used and it demonstrates that the dynamic trajectories tracking are asymptotically stable. Second, we estimate the rotor flux and speed by using the adaptive Luenberger observer (ALO). Simulation results are provided to illustrate the performance of the proposed approach in high and low speeds and load torque disturbance.

Keywords: Sensorless backstepping, IM, Three levels NPC inverter, Lyapunov theory, ALO.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1088970

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2211

References:


[1] F. Blaschke, “The principle of field orientation as applied to the new transvector closed loop control system for rotating-field machines,” Siemens Rev, 34, pp. 217-220, 1972.
[2] R.J Wai , F.J Lin and S.P Hsu, “Intelligent backstepping control for linear induction motor drives,” IEE Proceedings Control Theory and Applications, Vol. 148, n. 3, pp. 193-202, 2001.
[3] F.J. Lin, R.J. Wai, W.D. Chou and S.P. Hsu, S, “Adaptive backstepping control using tecurrent neural network for linear induction motor Drive,” IEEE Transactions on Industrial Electronics, Vol. 49, n. 1, pp. 134-146, February. 2002.
[4] N. Ezziani, A. Hussain, N. Essounbouli and A. Hamzaoui, “Backstepping adaptive type-2 fuzzy controller for induction machine,” ISIE, 2008.
[5] H. Nakano and I. Takahashi, “Sensorless field oriented control of an induction motor using an instantaneous slip frequency estimation method,” IEEE Power Electronics Specialists Conference, vol. 2, pp. 847-854, 1988.
[6] T. Ohtani, N. Takada and K. Tanaka, “Vector control of induction motor without shaft encoder,” IEEE industry Applications Society Annual Meeting Conference Record, 1, pp. 500-507, Oct 1989.
[7] Juraj Gacho and Milan Zalman, “IM based speed servodrive with luenberger observer,” Journal of Electrical Engineering, vol. 6, n. 3, pp. 149–156, 2010.
[8] A. Abbou and H. Mahmoudi, “Performance of a sensorless direct torque flux control strategy for induction motors associated to the three levels npc converter used in electric vehicles”, IJ-STA, vol. 2, n. 2, pp. 790-803, 2008.
[9] 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.
[10] S. Belkacem, F. Naceri, A. Betta and L. Laggoune, “Speed sensorless of induction motor based on an improved adaptive flux observer,” IEEE Trans. Industry Appl, pp. 1192-1197, 2005.
[11] B. Akin, “State estimation techniques for speed sensorless field orient control of induction motors,” M.Sc. Thesis EE Dept, METU, 2003.
[12] Sio-Iong Ao Len Gelman, “Advances in electrical engineering and computational science lecture,” Notes in Electrical Engineering, vol. 39, Editors, 2009.
[13] A. Bennassar, A. Abbou, M. Akherraz, M. Barara, “Fuzzy logic speed control for sensorless indirect field control of induction motor using an extended Kalman filter,” IREACO, vol. 6, n. 3, pp. 332-339, 2013.