Science Journal of Circuits, Systems and Signal Processing

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Rotor Speed and Parameters Identification Scheme for Sensorless Induction Motor Drives

Received: Dec. 15, 2017    Accepted: Dec. 28, 2017    Published: Jan. 18, 2018
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Abstract

Most industrial processes have time-varying parameters, the Induction Motor IM is a typical example, in fact the rotor resistance (Rr) can vary and reach 100% of its nominal value during operation because of the heating of the rotor, the effect of the variation of the stator resistance (Rs) is very influential at low speed for our case because it can go up to 50% of its initial value, it is proposed in this work to developed a method that involves the observation of the speed and the simultaneous estimation of the principal parameters varying in time, and in particular the estimation of the stator resistance Rs and rotor Rr of the induction motor using sliding-mode observer when only the stator currents and voltages are accessible by measurement. After the theoretical study we will validate the method proposed by the simulation results where we will show the fairly fast convergence of this method as well as its robustness.

DOI 10.11648/j.cssp.20170606.12
Published in Science Journal of Circuits, Systems and Signal Processing ( Volume 6, Issue 6, December 2017 )
Page(s) 57-64
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

IM Control, Sliding Mode Observer, Parameter Estimation, Field Oriented Controller

References
[1] Y. Agrebi Zorgani, Y. Koubaa, M. Boussak, “Simultaneous Estimation of Speed and Rotor Resistance in Sensorless ISFOC Induction Motor Drive Based on MRAS Scheme”, XIX International Conference on Electrical Machines - ICEM 2010, Rome.
[2] DJ. CHERIFI, Y. MILOUD, "New Fuzzy Luenberger Observer for Performance Evaluation of a Sensorless Induction Motor Drive", International Review of Automatic Control, Theory and Applications (IREACO), July 2013 (Vol. 6 N. 4)
[3] Yali Zhou, Yongdon Li and Zedong Zheng, “Research of Speed sensorless Vector Control of an Induction Motor Based on Model Reference Adaptive System” 2009 IEEE.
[4] Juraj Gacho, Milan Zalman, “IM Based Speed Servodrive With Luenberger Observer”, Journal of Electrical Engineering, VOL. 61, NO. 3, 2010, 149–156.
[5] Mohamed S. Zaky, “Stability Analysis of Simultaneous Estimation of Speed and Stator Resistance for Sensorless Induction Motor Drives”, Proceedings of the 14th International Middle East Power Systems Conference (MEPCON’10), Cairo University, Egypt, December 19-21, 2010, Paper ID 180.
[6] Yehia S. Mohamed, A. M. El-Sawy and A. A. Zaki, "STATOR RESISTANCE ESTIMATION FOR SPEED SENSORLESS VECTOR CONTROLLED INDUCTION MOTOR DRIVES AS INFLUENCED BY SATURATION", Journal of Engineering Sciences, Assiut University, Vol. 37, No. 3, pp. 669-690, May 2009.
[7] M. Messaoudi, L. Sbita, M. Ben Hamed and H. Kraiem, “MRAS and Luenberger Observer Based Sensorless Indirect Vector Control of Induction Motors”, Assain Journal of Information Technology 7 (5): 232-239, 2008.
[8] Mabrouk Jouili, Kamel Jarray, Yassine Koubaa and Mohamed Boussak, “A Luenberger State Observer for Simultaneous Estimation of Speed and Rotor Resistance in sensorless Indirect Stator Flux Orientation Control of Induction Motor Drive”, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 6, No 3, November 2011.
[9] H. Kubota, K. Matsuse, and T. Nakano, “DSP-based speed adaptive flux observer of induction motor,” IEEE Trans. Ind. Appl., vol. 29, no. 2, pp. 344–348, Mar./Apr. 1993.
[10] S. M. Nayeem Hasan and Iqbal Husain, “A Luenberger–Sliding Mode Observer for Online Parameter Estimation and Adaptation in High-Performance Induction Motor Drives”, IEEE Transactions on industry applications, vol. 45, no. 2, March/April 2009.
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  • APA Style

    Djamila Cherifi, Yahia Miloud. (2018). Rotor Speed and Parameters Identification Scheme for Sensorless Induction Motor Drives. Science Journal of Circuits, Systems and Signal Processing, 6(6), 57-64. https://doi.org/10.11648/j.cssp.20170606.12

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    ACS Style

    Djamila Cherifi; Yahia Miloud. Rotor Speed and Parameters Identification Scheme for Sensorless Induction Motor Drives. Sci. J. Circuits Syst. Signal Process. 2018, 6(6), 57-64. doi: 10.11648/j.cssp.20170606.12

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    AMA Style

    Djamila Cherifi, Yahia Miloud. Rotor Speed and Parameters Identification Scheme for Sensorless Induction Motor Drives. Sci J Circuits Syst Signal Process. 2018;6(6):57-64. doi: 10.11648/j.cssp.20170606.12

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  • @article{10.11648/j.cssp.20170606.12,
      author = {Djamila Cherifi and Yahia Miloud},
      title = {Rotor Speed and Parameters Identification Scheme for Sensorless Induction Motor Drives},
      journal = {Science Journal of Circuits, Systems and Signal Processing},
      volume = {6},
      number = {6},
      pages = {57-64},
      doi = {10.11648/j.cssp.20170606.12},
      url = {https://doi.org/10.11648/j.cssp.20170606.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.cssp.20170606.12},
      abstract = {Most industrial processes have time-varying parameters, the Induction Motor IM is a typical example, in fact the rotor resistance (Rr) can vary and reach 100% of its nominal value during operation because of the heating of the rotor, the effect of the variation of the stator resistance (Rs) is very influential at low speed for our case because it can go up to 50% of its initial value, it is proposed in this work to developed a method that involves the observation of the speed and the simultaneous estimation of the principal parameters varying in time, and in particular the estimation of the stator resistance Rs and rotor Rr of the induction motor using sliding-mode observer when only the stator currents and voltages are accessible by measurement. After the theoretical study we will validate the method proposed by the simulation results where we will show the fairly fast convergence of this method as well as its robustness.},
     year = {2018}
    }
    

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    T1  - Rotor Speed and Parameters Identification Scheme for Sensorless Induction Motor Drives
    AU  - Djamila Cherifi
    AU  - Yahia Miloud
    Y1  - 2018/01/18
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    T2  - Science Journal of Circuits, Systems and Signal Processing
    JF  - Science Journal of Circuits, Systems and Signal Processing
    JO  - Science Journal of Circuits, Systems and Signal Processing
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    EP  - 64
    PB  - Science Publishing Group
    SN  - 2326-9073
    UR  - https://doi.org/10.11648/j.cssp.20170606.12
    AB  - Most industrial processes have time-varying parameters, the Induction Motor IM is a typical example, in fact the rotor resistance (Rr) can vary and reach 100% of its nominal value during operation because of the heating of the rotor, the effect of the variation of the stator resistance (Rs) is very influential at low speed for our case because it can go up to 50% of its initial value, it is proposed in this work to developed a method that involves the observation of the speed and the simultaneous estimation of the principal parameters varying in time, and in particular the estimation of the stator resistance Rs and rotor Rr of the induction motor using sliding-mode observer when only the stator currents and voltages are accessible by measurement. After the theoretical study we will validate the method proposed by the simulation results where we will show the fairly fast convergence of this method as well as its robustness.
    VL  - 6
    IS  - 6
    ER  - 

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Author Information
  • Electrical Engineering Department, Faculty of technology, Dr Moulay Tahar University, Saida, Algeria

  • Electrical Engineering Department, Faculty of technology, Dr Moulay Tahar University, Saida, Algeria

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