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Online Stator and Rotor Resistance Estimation Scheme Using Sliding Mode Observer for Indirect Vector Controlled Speed Sensorless Induction Motor

Received: 17 November 2018    Accepted: 20 December 2018    Published: 29 January 2019
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Abstract

Recently, many works have been made to improve the performance of sensorless induction motor drives. However, parameter variations and low-speed operations are the most critical aspects affecting the accuracy and stability of sensorless drives. This work presents a sensorless vector control scheme consisting of the first hand of a velocity estimation algorithm that overcomes the need for sensor velocity and secondly a robust variable structure control law that compensates for the uncertainties present in the system. Simulation results confirm the efficacy of the proposed approach.

Published in American Journal of Computer Science and Technology (Volume 2, Issue 1)
DOI 10.11648/j.ajcst.20190201.11
Page(s) 1-8
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

Induction Motor Drive, Indirect Field Oriented Control, Sensorless, Sliding Mode Observer, Simultaneous Parameter Estimation

References
[1] Zicheng Li, Zhouping Yin, Youlun Xiong and Xinzhi Liumm " Rotor Speed and Stator Resistance Identification Scheme for Sensorless Induction Motor Drives"m TELKOMNIKA, Vol.11, No.1, January 2013, pp. 503~512.
[2] E¸ s. Ozsoy, M. G. Okasan, S. Bogosyan, "Simultaneous rotor and stator resistance estimation of squirrel cage induction machine with a single extended kalman filter", Turk J Elec Eng & Comp Sci, Vol.18, No.5, 2010
[3] DJ. Cherifi, Y. Miloud, A. Tahri, " New Fuzzy Luenberger Observer for Performance Evaluation of a Sensorless Induction Motor Drive", International Review of Automatic Control (I. RE. A. CO.), Vol. 6, n. 4 July 2013.
[4] T. ORLOWSKA-KOWALSKA and G. TARCHALA, "Unified approach to the sliding-mode control and state estimation– application to the induction motor drive", BULLETIN OF THE POLISH ACADEMY OF SCIENCES TECHNICAL SCIENCES, Vol. 61, No. 4, 2013.
[5] A. M. El-Sawy, Yehia S. Mohamed and A. A. Zaki, "Stator Resistance and Speed Estimation for Induction Motor Drives As Influenced by Saturation", The Online Journal on Electronics and Electrical Engineering (OJEEE).
[6] R. Tak, S. Y Kumar and B. S. Rajpurohit, "Estimation of Rotor and Stator Resistance for Induction Motor Drives using Second order of Sliding Mode Controller", Journal of Engineering Science and Technology Review 10 (6) (2017) 9 - 15.
[7] 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.
[8] M. S. Zaky, M. M. Khater, H. Yasin, and S. S. Shokralla, “Speed and Stator Resistance Identification Schemes for a Low Speed Sensorless Induction Motor Drive”, 2008 IEEE.
[9] M. AKTAS, H. I. OKUMUS, "Stator resistance estimation using ANN in DTC IM drives", Turk J Elec Eng & Comp Sci, Vol.18, No.2, 2010.
[10] G. Tarchala, T. O-Kowalska, “Sliding Mode Speed Observer for the Induction Motor Drive with Different Sign Function Approximation Forms and Gain Adaptation », PRZEGLĄD ELEKTROTECHNICZNY, ISSN 0033-2097, R. 89 NR 1a/2013.
[11] K Kouzi, M-S. Nait –Said, M. Hilairet, E. Berthlol, “A robust fuzzy speed estimation for vector control of an induction motor”, 2009 IEEE
[12] F. Mellah, M. Chenafa, A. Bouhenna, A. Mansouri, “Passivity Control with sliding mode observer of induction motor”, Przegląd Elektrotechniczny (Electrical Review), ISSN 0033-2097, R. 87 NR 7/2011.
[13] A. Farrokh Payam, M. Jalalifar, “Robust Speed Sensorless Control of Doubly- Fed Induction Machine Based on Input-Output Feedback Linearization Control Using a Sliding-Mode Observer”, 0-7803-9772-X/06/$20.00 ©2006 IEEE.
[14] Hongryel Kim, Jubum Son, and Jangmyung Lee, “A High-Speed Sliding-Mode Observer for the Sensorless Speed Control of a PMSM”, IEEE Transactions on Industrial Electronics, VOL. 58, NO. 9, September 2011.
[15] M. S. Zaky, "A stable adaptive flux observer for a very low speed-sensorless induction motor drives insensitive to stator resistance variations", Ain Shams Engineering Journal (2011).
[16] G. Venkatesh, S. VijayaBhaskar, B. Mohan Reddy, “Efficient Speed Estimation of an Induction Motor Drive Using Sliding Mode Observer Algorithm”, International Journal of Engineering Research & Technology October - 2013.
[17] P. Dharani, D. Nagaraju, R. Nagesh,”Wide-Speed-Range Estimation with Online Parameter Identification Schemes of Sensorless Induction Motor Drives”, International Journal of Emerging Research in Management &Technology October 2013.
[18] 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.
Cite This Article
  • APA Style

    Djamila Cherifi, Yahia Miloud. (2019). Online Stator and Rotor Resistance Estimation Scheme Using Sliding Mode Observer for Indirect Vector Controlled Speed Sensorless Induction Motor. American Journal of Computer Science and Technology, 2(1), 1-8. https://doi.org/10.11648/j.ajcst.20190201.11

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    ACS Style

    Djamila Cherifi; Yahia Miloud. Online Stator and Rotor Resistance Estimation Scheme Using Sliding Mode Observer for Indirect Vector Controlled Speed Sensorless Induction Motor. Am. J. Comput. Sci. Technol. 2019, 2(1), 1-8. doi: 10.11648/j.ajcst.20190201.11

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    AMA Style

    Djamila Cherifi, Yahia Miloud. Online Stator and Rotor Resistance Estimation Scheme Using Sliding Mode Observer for Indirect Vector Controlled Speed Sensorless Induction Motor. Am J Comput Sci Technol. 2019;2(1):1-8. doi: 10.11648/j.ajcst.20190201.11

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  • @article{10.11648/j.ajcst.20190201.11,
      author = {Djamila Cherifi and Yahia Miloud},
      title = {Online Stator and Rotor Resistance Estimation Scheme Using Sliding Mode Observer for Indirect Vector Controlled Speed Sensorless Induction Motor},
      journal = {American Journal of Computer Science and Technology},
      volume = {2},
      number = {1},
      pages = {1-8},
      doi = {10.11648/j.ajcst.20190201.11},
      url = {https://doi.org/10.11648/j.ajcst.20190201.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20190201.11},
      abstract = {Recently, many works have been made to improve the performance of sensorless induction motor drives. However, parameter variations and low-speed operations are the most critical aspects affecting the accuracy and stability of sensorless drives. This work presents a sensorless vector control scheme consisting of the first hand of a velocity estimation algorithm that overcomes the need for sensor velocity and secondly a robust variable structure control law that compensates for the uncertainties present in the system. Simulation results confirm the efficacy of the proposed approach.},
     year = {2019}
    }
    

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    T1  - Online Stator and Rotor Resistance Estimation Scheme Using Sliding Mode Observer for Indirect Vector Controlled Speed Sensorless Induction Motor
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    AU  - Yahia Miloud
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    JF  - American Journal of Computer Science and Technology
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    UR  - https://doi.org/10.11648/j.ajcst.20190201.11
    AB  - Recently, many works have been made to improve the performance of sensorless induction motor drives. However, parameter variations and low-speed operations are the most critical aspects affecting the accuracy and stability of sensorless drives. This work presents a sensorless vector control scheme consisting of the first hand of a velocity estimation algorithm that overcomes the need for sensor velocity and secondly a robust variable structure control law that compensates for the uncertainties present in the system. Simulation results confirm the efficacy of the proposed approach.
    VL  - 2
    IS  - 1
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Author Information
  • Electrical Engineering Department, Dr Moulay Tahar University, Saida, Algeria

  • Electrical Engineering Department, Dr Moulay Tahar University, Saida, Algeria

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