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.
Published in | Science Journal of Circuits, Systems and Signal Processing (Volume 6, Issue 6) |
DOI | 10.11648/j.cssp.20170606.12 |
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), 2018. Published by Science Publishing Group |
IM Control, Sliding Mode Observer, Parameter Estimation, Field Oriented Controller
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[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) |
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[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. |
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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
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
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
@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://article.sciencepublishinggroup.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} }
TY - JOUR T1 - Rotor Speed and Parameters Identification Scheme for Sensorless Induction Motor Drives AU - Djamila Cherifi AU - Yahia Miloud Y1 - 2018/01/18 PY - 2018 N1 - https://doi.org/10.11648/j.cssp.20170606.12 DO - 10.11648/j.cssp.20170606.12 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 SP - 57 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 -