Mechanical speed estimation of a DFIG based on the Unscented Kalman Filter (UKF)

Hicham Ben Sassi, Khadija Lahrech, Fatima Errahimi, Najia ES-Sbai, Mokhtar Ghodbane


This work proposes a new estimation technique for the doubly-fed induction generator (DFIG) variables. Researchers have designed numerous sensorless control strategies for the DFIG used either for mechanical speed, electromagnetic torque, or rotor position estimation. In this paper, an analysis of an Unscented Kalman Filter (UKF) will be presented as an observer for both rotor and stator currents, and mechanical speed, which are key information in DFIG control. The performance of the proposed observer has been validated in a 9 MW wind turbine under MATLAB/Simulink. Based on the results obtained, UKF is safely able to replace mechanically coupled sensors which have many disadvantages such as high cost, maintenance, and cabling requirements.


Sensorless control, Wind energy, DFIG, Observers, Mechanical speed estimation.

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Z. Said, M. Ghodbane, B. Boumeddane, A.K. Tiwari, L.S. Sundar, C. Li, N. Aslfattahi, E. Bellos, “Energy, exergy, economic and environmental (4E) analysis of a parabolic trough solar collector using MXene based silicone oil nanofluids,” Solar Energy Materials and Solar Cells, vol. 239, 111633. 2022.

Z. Said, P. Sharma, N. Aslfattahi, M. Ghodbane, “Experimental analysis of novel ionic liquid-MXene hybrid nanofluid's energy storage properties: Model-prediction using modern ensemble machine learning methods,” Journal of Energy Storage, vol. 52, 104858. 2022.

M. Ghodbane, Z. Said, A.K. Tiwari, L. Syam Sundar, C. Li, B. Boumeddane, “4E (energy, exergy, economic and environmental) investigation of LFR using MXene based silicone oil nanofluids,” Sustainable Energy Technologies and Assessments, vol. 49, 101715. 2022.

M. Ghodbane, Boumeddane, K. Lahrech, “Solar thermal energy to drive ejector HVAC systems: A numerical study under Blida climatic conditions,” Case Studies in Thermal Engineering, vol. 28, 101558. 2021.

E. Douvi, D. Douvi, D. Pylarinos, D. Margaris, “Effect of Rain on the Aerodynamic Performance of a Horizontal Axis Wind Turbine – A Computational Study,” International Journal of Energetica, vol. 6, pp. 25-33. 2021.

Y. Saidi, A. Mezouar, Y. Miloud, M. A. Benmahdjoub, M. Yahiaoui, “Fuzzy Logic Based Robust DVC Design of PWM Rectifier Connected to a PMSG WECS under wind/load Disturbance Conditions,” International Journal of Energetica, vol. 4, pp. 37-43. 2019.

H. Cherif, A. Khechekhouche, M. Maamir, H. Aboub, B. Belgasim, “Modelling and Control of a Small Domestic Wind Turbine,” ASEAN Journal of Science and Engineering, vol. 3, pp. 115-122. 2023.

H. Mesai Ahmed, A. Bentaallah, Y. Djeriri, A. Mahmoudi, “Comparative study between pi and fuzzy pi controllers for DFIG integrated in variable speed wind turbine,” International Journal of Energetica, vol. 4, pp. 8-13. 2019.

G. Nurettin, A. Sevinç, “Performance study and analysis between vector control and direct power control for DFIG based wind energy system,” International Journal of Energetica, vol. 6, pp. 13-20. 2021.

M. Atallah, A. Mezouar, Kh. Belgacem, Y. Saidi, M. A. Benmahdjoub, “Modeling and Power Control of 5th and 3rd order model for DFIG Applied of Wind Conversion System,” International Journal of Energetica, vol. 6, pp. 44-51. 2021.

Ashwani Kumar, Sanjay K. Jain, “A Review on the Operation of Grid Integrated Doubly Fed Induction Generator,” International Journal of Enhanced Research in Science Technology & Engineering, vol. 2, pp. 25-37. 2013

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

G. Salloum, “Contribution à la commande robuste de lamachine asynchrone a double alimentation,” PhD Thesis, l’institut national polytechnique de Toulouse. 2007

C. Batlle, A D`oria-Cerezo, R. Ortega, “A Stator Voltage Oriented PI Controller For The Doubly-Fed Induction Machine,” Proceedings of the 2007 American Control Conference Marriott Marquis, New York City, USA, July 11-13, 2007

B. Bossoufi, H. A. Aroussi, E. M. Ziani, A. Lagrioui, A. Derouich, “Low-Speed Sensorless Control of DFIG Generators Drive for Wind Turbines System,” WSEAS transactions on systems and control, vol. 4, pp. 514-525. 2014

S. Kouadria, Y Messlem, E. Berkouk, “Sliding mode control of active and reactive power of DFIG for variable-speed wind energy conversion system,” Proceedings of the 3rd International Renewable and Sustainable Energy Conference (IRSEC), Marrakech – Ouarzazate, Morocco, December 10-13, 2015

S. Ebrahimkhani, “Robust fractional order sliding mode control of doubly-fed induction generator (DFIG)-based wind turbines,” ISA Transactions, vol. 63, pp. 343-354. 2016

M. El Azzaoui, H. Mahmoudi, C. Ed-dahmani, “Backstepping control of a doubly fed induction generator integrated to wind power system,” 2nd International Conference on Electrical and Information Technologies, Tangier, Morocco, pp. 306-311. 2016

M. Abdelrahem, C. Hackl and R. Kennel, “Application of extended Kalman filter to parameter estimation of doubly-fed induction generators in variable-speed wind turbine systems,” International Conference on Clean Electrical Power (ICCEP), pp. 226-233. 2015.

B. Singh and N. K. S. Naidu, “Direct power control of single VSC based DFIG without rotor position sensor,” IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), pp. 1-6. 2012.

Y. Majdoub, A. Abbou, M. Akherraz, “Variable Speed Control of DFIG-Wind Turbine with Wind Estimation,” International Renewable and Sustainable Energy Conference (IRSEC), pp. 268-274. 2014.

R. Cardenas, R. Pena, J. Proboste, G. Asher, J. Clare, “MRAS observer for sensorless control of standalone doubly fed induction generators,” in IEEE Transactions on Energy Conversion, vol. 20, pp. 710-718. 2005.

A. Mehdi, A. Reama, H. Benalla, “MRAS observer for sensorless direct active and reactive power control of DFIG based WECS with constant switching frequency,” Eleventh International Conference on Ecological Vehicles and Renewable Energies (EVER), pp. 1-7. 2016.

K. Belmokhtar, M.L. Doumbia, K. Agbossou, “Novel fuzzy logic based sensorless maximum power point tracking strategy for wind turbine systems driven DFIG (doubly-fed induction generator),” Energy, vol. 76, pp. 679-693. 2014.

M. Abdelrahem, C. Hackl, R. Kennel, “Sensorless Control of Doubly-Fed Induction Generators in Variable-Speed Wind Turbine Systems,” International Conference on Clean Electrical Power (ICCEP), pp. 406-413. 2015.

S. J. Julier Jeffrey K. Uhlmann, “A New Extension of the Kalman Filter to Nonlinear Systems,” The Robotics Research Group, Department of Engineering Science, The University of Oxford, proceedings of the IEEE, vol. 92. 2004

S. Kumar Senapati, “Modelling and Simulation of a Grid Connected Doubly Fed Induction Generator for Wind Energy Conversion System,” Thesis for the degree of Master department of electrical engineering national institute of technology Rourkela, May 2014

Y. Wu, D. Hu, M. Wu, X. Hu, “Unscented Kalman filtering for additive noise case: augmented versus nonaugmented,” in IEEE Signal Processing Letters, vol. 12, pp. 357-360. 2005.

B. Huang, Q. Wang, “Overview of emerging Bayesian approach to nonlinear system identification. In Round Tables on Non-linear Model Identification,” International Workshop on Solving Industrial Control and Optimization Problems, Cramado, Brazil, April 6–7, 2006

M. Benbouzid, B. Beltran, H. Mangel, A. Mamoune, “A high-order sliding mode observer for sensorless control of DFIG-based wind turbines,” IECON Proc. Industrial Electron. Conf., pp. 4288–4292. 2012.

A. T. Nguyen, D. C. Lee, “Sensorless Control of DFIG Wind Turbine Systems Based on SOGI and Rotor Position Correction,” IEEE Trans. Power Electron., vol. 36, pp. 5486–5495. 2021.

M. Pucci, M. Cirrincione, “Neural MPPT control of wind generators with induction machines without speed sensors,” IEEE Trans. Ind. Electron., vol. 58, pp. 37–47. 2011.



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