Open Access Open Access  Restricted Access Subscription or Fee Access

Robust Integral Backstepping Control of Doubly Fed Induction Generator Under Parameter Variation

(*) Corresponding author

Authors' affiliations



After functioning for a long period, the intrinsic parameters of a grid-connected Doubly Fed Induction Generator may undergo variations due to temperature increase or saturation. The difference between real machine parameters and those considered during the synthesis of controllers may also differ due to modelling error. When this variation occurs, conventional controllers that depend on these machine parameters for their design and tuning may perform badly, leading to inefficient power control of the overall system. This paper presents the grid connected Doubly Fed Induction Generator wind energy conversion system under the Field Orientation Control scheme. A robust nonlinear Integral Backstepping controller is designed and analyzed to improve the efficiency of the system. The control strategy executes active and reactive power control through speed and current control at the rotor side converter. The proposed strategy is asymptotically stable in the context of Lyapunov theory and in the presence of parameter variations. Some simulation results are presented and discussed for a 660 kW wound rotor induction generator.
Copyright © 2017 Praise Worthy Prize - All rights reserved.


Doubly Fed Induction Generator; Field Oriented Control; Nonlinear Backstepping Controller

Full Text:



Ouled Amor, W., Ltifi, A., Ghariani, M., Study of a Wind Energy Conversion Systems Based on Doubly-Fed Induction Generator, (2014) International Review on Modelling and Simulations (IREMOS), 7 (4), pp. 619-625.

Jafari, H., Jafari, H., Comparison of Self Tuning P and PI Voltage Control of DFIG in Wind Power Generation Considering Two Mass Shaft Model, (2014) International Review of Automatic Control (IREACO), 7 (2), pp. 147-155.

A. Karthikeyan, N. R. Naguru, C. Nagamani, and G. S. Ilango, Feedback linearization control based power control of grid connected DFIG with grid synchronization, 10th EEEIC 2011, Rome, Italy, May 2011.

A. Petersson, Analysis, Modeling and Control of Doubly-Fed Induction Generators for Wind Turbines, PhD Thesis, Chalmers University of Technology, 2005.

A. Gaillard, Système éolien basé sur une MADA: contribution à l’étude de la qualité de l’énergie électrique et de la continuité de service, PhD Thesis, l’Université Henri Poincaré, Nancy, France, 2010.

R Pena, J.C. Clare, G.M. Asher, Double fed induction generator using back-to-back PWM converter and its application to variable speed wind-energy generation, IEE Proc. Electric Power Application, vol. 14(Issue 3), pp. 231–241,1996.

Majdoub, Y., Abbou, A., Akherraz, M., El Akhrif, R., Intelligent Backstepping Control of Variable Speed DFIG-Wind Turbine Under Unbalanced Grid Voltage Conditions Using Genetic Algorithm Optimization, (2015) International Review of Electrical Engineering (IREE), 10 (6), pp. 716-726.

Abulizi, M., Peng, L., Francois, B., Li, Y., Performance Analysis of a Controller for Doubly-Fed Induction Generators Based Wind Turbines Against Parameter Variations, (2014) International Review of Electrical Engineering (IREE), 9 (2), pp. 262-269.

Reddak, M., Berdai, A., Gourma, A., Boukherouaa, J., Belfiqih, A., Enhanced Sliding Mode MPPT and Power Control for Wind Turbine Systems Driven DFIG (Doubly-Fed Induction Generator), (2016) International Review of Automatic Control (IREACO), 9 (4), pp. 207-215.

Rouabhi, R., Abdessemed, R., Chouder, A., Djerioui, A., Power Quality Enhancement of Grid Connected Doubly-Fed Induction Generator Using Sliding Mode Control, (2015) International Review of Electrical Engineering (IREE), 10 (2), pp. 266-276.

Ouchatti, A., Abbou, A., Akherraz, M., Taouni, A., Induction Motor Controller Using Fuzzy MRAS and Backstepping Approach, (2014) International Review of Electrical Engineering (IREE), 9 (3), pp. 511-518.

Bennassar, A., Abbou, A., Akherraz, M., A New Sensorless Control Design of Induction Motor Based on Backstepping Sliding Mode Approach, (2014) International Review on Modelling and Simulations (IREMOS), 7 (1), pp. 35-42.

Zebirate, S., Chaker, A., Feliachi, A., Neural Predictive Control of a Doubly Fed Induction Generator, (2014) International Review on Modelling and Simulations (IREMOS), 7 (5), pp. 782-790.

N. Khemiri, A. Khedher, M.F. Mimouni, An Adaptive Nonlinear Backstepping Control of DFIG Driven by Wind Turbine, WSEAS Transactions on Environment and Development, Vol. 8(Issue 2), pp. 60-71, April 2012.

Bouallegue, S., Khoud, K., Integral Backstepping Control Prototyping for a Quad Tilt Wing Unmanned Aerial Vehicle, (2016) International Review of Aerospace Engineering (IREASE), 9 (5), pp. 152-161.

S. El Amaini, “Comparison of control structures for variable wind speed, 27th International Conference on Microelectronics (ICM), Casablanca, Morocco, pp. 261-264 December 2015.

P. Krause, O. Wasynczuk and S. D. Sudhoff, Analysis of Electric Machinery and Drive Systems, IEEE Press, Wiley-Interscience, John Wiley & Sons, Inc., New Jersey, 2002.

Payam, A., Hassani, F., Fathipour, M., Design of Hybrid Closed Loop Control Systems for a MEMS Accelerometer Using Nonlinear Control Principles, (2014) International Review of Aerospace Engineering (IREASE), 7 (5), pp. 164-170.

Benbouzid, M., Beltran, B., Amirat, Y., Breton, S., Sensorless Control of Doubly-Fed Induction Generator-Based Wind Turbines Using a High-Order Sliding Mode Observer, (2014) International Review of Electrical Engineering (IREE), 9 (1), pp. 49-55.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2024 Praise Worthy Prize