Speed-Sensorless DFIG Wind Drive Based on DTC Using Sliding Mode Rotor Flux Observer

Ben Alaya Jihene, Adel Khedher, Mohamed Faouzi Mimouni

Abstract


In this paper, we present a grid-connected wind turbine equipped with double-fed induction generator directly connected to the grid in the stator side and interconnected via a power converter in the rotor side. The aim of this paper is to control the rotor side power converter via a speed sensorless direct torque control using a rotor flux observer based on the sliding mode method combined with the classical Lyapunov stability theory. The speed sensorless direct torque control seeks to provide a tracking of speed and rotor flux in spite of an unpredictable wind fluctuation. To control the grid side converter, a network voltage vector oriented control strategy is developed. The proposed strategies tested under parametric variations and different scenarios of wind speed disturbances, evaluate the system performances.


Keywords


Wind Energy Converter System; DFIG; Sensorless Control; DTC; Flux Observer

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References


D.Wei Qiao, R.G. Harley. Improved Control of DFIG Wind Turbines for Operation with Unbalanced Network Voltages. IAS’08 Annual Meeting. IEEE. pp.1 –7. October 2008.

D. Casadei, F. Profumo, G. Serra, A. Tani. FOC and DTC: Two viable schemes for induction motors torque control. IEEE Trans. Power Electron. Vol.17. no.5, pp.779–787. September 2002.

A. Tapia, G. Tapia, J.X. Ostolaza, J.R. Saenz, Modeling and control of a wind turbine driven doubly fed induction generator. IEEE Trans. Energy Conversion. Vol. 18, Issue 2, pp. 194 – 204. June 2003.

C. Belfedal, S.Moreau, G.Champenois, T.Allaoui, M.Denai. Comparison of PI and Direct Power Control with SVM of Doubly Fed Induction Generator. Journal of Electrical and Electronics Engineering. Vol. 8, no.2. pp.633-641. 2008.

J. Ben Alaya, A. Khedher, M.F. Mimouni. Variable Speed Vector Control Strategy of the Double Fed Induction Generator Integrated in Electrical Grid. Inter. Conf. on Ecologic Vehicles and Renewable Energy (EVER’08), Monaco, France. March 2008.

Wong, K.C., Ho, S.L., Cheng, K.W.E., Direct control algorithm for doubly fed induction generators in weak grids. Electric Power Applications, IET. Vol. 3, Issue 4, pp. 371 – 380, July 2009.

M. Rahimi, M. Parniani. Dynamic behavior analysis of doubly-fed induction generator wind turbines, The influence of rotor and speed controller parameters. Int. J. of Electrical Power and Energy Systems. Vol.32, Issue 5, pp. 464–477, 2010.

F. Bonnet, P.E. Vidal, M. Pietrzak-David. Dual Direct Torque Control of Doubly Fed Induction Machine. IEEE Trans. Industrial Electronics. Vol. 54, no.5, pp. 2482-2490. October 2007.

G. Abad, M. A. Rodríguez, J. Poza. Two-Level VSC Based Predictive Direct Torque Control of the Doubly Fed Induction Machine With Reduced Torque and Flux Ripples at Low Constant Switching Frequency. IEEE Trans. Power Electronics. Vol.23. Issue 3, pp. 1050-1061. May 2008.

F. Parasiliti, R. Petrella, M. Tursini. Adaptive sliding mode observer for speed sensorless control of induction motors. 34th IAS Annual Meeting, IEEE. pp.2277-2283. 1999.

A. Khedher, M.F. Mimouni, A. Masmoudi, N. Derbel. Robust field Oriented Control analysis of an induction motor using an adaptive flux observer based on sliding mode methodology. IEEE. MESM’2004. pp.184-190. Sharjah, UAE. January 2004.

I. Takahashi, T. Nouuchi. A new quick-response and high-efficiency control strategy of an induction motor. IEEE Trans. Ind. Appl. Vol. IA-22, no. 5. pp. 820–827. September/October 1986.

F. Z. Peng, T. Fukao. Robust speed identification for speed-sensorless vector control of induction motors. IEEE Trans. Ind. Appl., vol. 30, no. 5, pp. 1234–1240, September./October 1994.

C. Schauder. Adaptive speed identification for vector control of induction motors without rotational transducers. IEEE Trans. Ind. Appl., vol.28, no. 5, pp. 1054–1061. September/October 1992.

L. Morel, H. Godfroid, A. Mirzoian, J.M. Kauffmann. Doubly–fed induction machine: converter optimization and field orientation control without position sensor. Proc. IEE, Vol. EPA – 145. No. 4. pp. 360 – 368. 1998.




DOI (PDF): https://doi.org/10.20508/ijrer.v2i4.330.g6092

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