A Novel Algorithm for Rotor Speed Estimation of DFIGs Using Machine Active Power based MRAS Observer

Document Type : Research paper

Authors

1 Sahand University of Technology (SUT)

2 Faculty of Electrical Engineering, Sahand University of Technology (SUT)

Abstract

This paper presents a new algorithm based on Model Reference Adaptive System (MRAS) and its stability analysis for sensorless control of Doubly-Fed Induction Generators (DFIGs). The reference and adjustable models of the suggested observer are based on the active power of the machine. A hysteresis block is used in the structure of the adaptation mechanism, and the stability analysis is performed based on sliding mode conditions. Simulation and practical results show appropriate operation and speed tracking of the observer with regard to obtained stability conditions.

Keywords

Main Subjects

References

[1]     A. Nafar, G. R. Arab Markadeh, A. Elahi, R. Pouraghababa. “Low voltage ride through enhancement based on improved direct power control of dfig under unbalanced and harmonically distorted grid voltage,” J. Oper. Autom. Power Eng., vol. 4, no. 1, pp. 16-28, 2016.
[2]     W. Zhong, L. Guo-jie, S. Yuanzhang, and B. T. Ooi, “Effect of erroneous position measurements in vector-controlled doubly fed induction generator,” IEEE Trans. Energy Convers., vol. 25, no. 11, pp. 59-69, 2010.
[3]     P. Vas, Sensorless Vector and Direct Torque Control. Oxford University Press, 1998.
[4]     R. Cardenas, R. Pena, J. Proboste, G. Asher, J. Clare, “MRAS observer for sensorless control of standalone doubly fed induction generators,” IEEE Trans. Energy Convers., vol. 20, no. 4, pp. 710-718, 2005.
[5]     R. Cardenas, R. Pena, J. Clare, G. Asher, J. Proboste, “MRAS observers for sensorless control of doubly-fed induction generators,” IEEE Trans. Power Electr., vol. 23, no. 3, pp. 1075-1084, 2008.
[6]     F. C. Dezza, G. Foglia, M. F. Iacchetti, R. Perini, “An MRAS observer for sensorless dfim drives with direct estimation of the torque and flux rotor current components,” IEEE Trans. Power Electr., vol. 27, no. 5, pp. 2576-2584, 2012.
[7]     M. Iacchetti, M. S. Carmeli, F. Castelli Dezza, R. Perini, “A speed sensorless control based on a MRAS applied to a double fed induction machine drive,” Electr. Eng., vol. 91, no. 6, pp. 337-345, 2010.
[8]     J. A. Cortajarena, J. De Marcos, “Neural network model reference adaptive system speed estimation for sensorless control of a doubly fed induction generator,” Electr. Power Comp. Syst., vol. 41, no. 12, pp. 1146-1158, 2013.
[9]     M. P. Pattnaik and D. K. Kastha, “Adaptive speed observer for a stand-alone doubly fed induction generator feeding nonlinear and unbalanced loads,” IEEE Trans. Energy Convers., vol. 27, no. 4, pp. 1018-1026, 2012.
[10]  P. K. Gayen, D. Chatterjee, S. K. Goswami, “Stator side active and reactive power control with improved rotor position and speed estimator of a grid connected DFIG (doubly-fed induction generator),” Energy, vol. 89, pp. 461-472, 2015.
[11]  D. G. Forchetti, G. O. Garcia, M. I. Valla, “Adaptive observer for sensorless control of stand-alone doubly fed induction generator,” IEEE Trans. Ind. Elect., vol. 56, no. 10, pp. 4174-4180, 2009.
[12]  H. Yongsu, K. Sungmin, and H. Jung-Ik, “Sensorless vector control of doubly fed induction machine using a reduced order observer estimating,” In Proc. of the IEEE Energy Convers. Cong. Expo., pp. 2623-2630, 2012.
[13]  H. Serhoud, D. Benattous, “Sensorless optimal power control of brushless doubly-fed machine in wind power generator based on extended Kalman filter,” Int. J. Syst. Ass. Eng. Manage., vol. 4, no. 1, pp. 57-66, 2013.
[14]  Y. Sheng, V. Ajjarapu, “A speed-adaptive reduced-order observer for sensorless vector control of doubly fed induction generator-based variable-speed wind turbines,” IEEE Trans. Energy Convers., vol. 25, no.3, pp. 891-900, 2010.
[15]  A. Karthikeyan, C. Nagamani, G. S. Ilango, “A versatile rotor position computation algorithm for the power control of a grid-connected doubly fed induction generator,” IEEE Trans. Energy Convers., vol. 27, no.3, pp. 697-706, 2012.
[16]  G. D. Marques, D. M. Sousa, “Sensorless direct slip position estimator of a DFIM based on the air gap pq - sensitivity study,” IEEE Trans. Ind. Electr., vol. 60, no.6, pp. 2442-2450, 2013.
[17]  F. Akel, T. Ghennam, E. M. Berkouk, M. Laour, “An improved sensorless decoupled power control scheme of grid connected variable speed wind turbine generator,” Energy Convers. Manage., vol. 78, pp. 584-594, 2014.
[18]  A. Karthikeyan, C. Nagamani, A. B. R. Chaudhury, G. S. Ilango, “Implicit position and speed estimation algorithm without the flux computation for the rotor side control of doubly fed induction motor drive,” IET Electr. Power Appl., vol. 6, no. 4, pp. 243-252, 2012.
[19]  G. Abad, J. López, M. A. Rodríguez, L. Marroyo, G. Iwanski, “Dynamic modeling of the doubly fed induction machine,” doubly fed induction machine: modeling and control for wind energy generation, pp. 209-239, 2011.
[20]  S. Maiti, C. Chakraborty, “MRAS-based speed estimation techniques for vector controlled double inverter-fed slipring induction motor drive,” Proc. 34th Ann. Conf. IEEE Ind. Elect., pp. 1275-1280, 2008.
[21]  G. D. Marques, D. M. Sousa, “New sensorless rotor position estimator of a DFIG based on torque Calculations-Stability study,” IEEE Trans. Energy Convers., vol. 27, no. 1, pp. 196-203, 2012
[22]  G. D. Marques, D. Mesquita e Sousa, “A new sensorless MRAS based on active power calculations for rotor position estimation of a DFIG,” Adv. Power Electr., vol. 2011, pp. 1-8, 2011.
[23]  A. Mokhberdoran, A. Ajami, “Symmetric and asymmetric design and implementation of new cascaded multilevel inverter topology,” IEEE Trans. Power Electr., vol. 29, no.11, pp. 6712-6724, 2014.
Journal of Operation and Automation in Power Engineering
Volume 6, Issue 1
June 2018
Pages 61-68

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History

  • Receive Date: 25 March 2016
  • Revise Date: 25 July 2017
  • Accept Date: 19 October 2017
  • First Publish Date: 01 June 2018

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