Speed Estimation of Three Phase Induction Motor Using Artificial Neural Network

Moinak Pyne; Abhishek Chatterjee; Sibamay Dasgupta

doi:doi:10.11648/j.ijepe.20140302.13

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Speed Estimation of Three Phase Induction Motor Using Artificial Neural Network

Moinak Pyne, Abhishek Chatterjee, Sibamay Dasgupta

Published in International Journal of Energy and Power Engineering (Volume 3, Issue 2)

Received: 26 January 2014 Published: 20 March 2014

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Abstract

Three phase induction motors being the most widely used motor for domestic, commercial and industrial applications, demands a more detailed understanding and improved analysis of its performance characteristics. The conventional method of using the equivalent circuit for assessing the motor performance cannot incorporate the non-linearities involved in the speed torque characteristics into the performance of the motor to the fullest extent. This paper presents an ANN based modeling of three phase induction motor to overcome this problem. The model has been tested and validated with actual experimental data. The performance of the model has been compared with that of a classical equivalent circuit technique both graphically and statistically and found to be superior. The model can thus offer a better method of speed estimation and control of the induction motor for input voltage variation with and without input frequency change.

Published in	International Journal of Energy and Power Engineering (Volume 3, Issue 2)
DOI	10.11648/j.ijepe.20140302.13
Page(s)	52-56
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), 2014. Published by Science Publishing Group

Keywords

Artificial Neural Networks, Three Phase Induction Motor

References

[1]	Vasic, Veran, Slobodan N. Vukosavic and Emil Levi., "A stator resistance estimation scheme for speed sensorless rotor flux oriented induction motor drives", IEEE transactions on Energy Conversion, on 18, no. 4 pp. 476-483, (2003).
[2]	Kohlsnez G. & Fodor D., "Comparison of scalar and vector control strategies of Induction Motor", Hungarian J. Industrial Chemistry, Veszprem, vol. 9 (2) pp. 265-270 (2011).
[3]	Baradwaj, Raj Mohan, Alexander G. Parlos and Hamid A. Toliyat, "Adaptive neural network-based state filter for induction motor speed estimation." In Industrial Electronics Society, 1999. IECON’99 Proceedings. The 25th Annual Conference of the IEEE, vol. 3, pp. 1283-1288. IEEE, 1999.
[4]	Geetha, E. K., T. Thyagarajan, and Vedam Subramanyam, "Robust speed sensorless induction motor drives." In Power Electronics, 2007, ICPE’07, 7th International Conference on Power Electronics, pp. 806-810. IEEE, 2007.
[5]	O. Yuksel, D. Mehmet, "Speed estimation of vector controlled squirrel cage asynchronous motor with artificial neural network." Elsevier Energy Conversion and Management, vol. 52, pp. 675-686, 2009.
[6]	dos Santos, T. H., A. Goedtel, S.A. O. da Silva, and M. Suetake, "A neural speed estimator in Three-Phase Induction Motors powered by a driver with scalar control." In Power Electronics Conference (COBEP), 2011 Brazilian, pp. 44-49. IEEE, 2011.
[7]	S.J. Chapman, Electric Machines Fundamentals, McGrow-Hill (1998) pp. 430-436.
[8]	Neural Network Toolbox TM User Guide, www.mathworks.in/help/pdf_doc/nnet/nnet_ug.pdf
[9]	B.S. Grewal, Higher Engineering Mathematics, Khanna Publishers, 40th Edition.
[10]	Digital Signal Processing Solution for AC Induction Motor, Application Note BPRA043 Texas Instruments.

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APA Style

Moinak Pyne, Abhishek Chatterjee, Sibamay Dasgupta. (2014). Speed Estimation of Three Phase Induction Motor Using Artificial Neural Network. International Journal of Energy and Power Engineering, 3(2), 52-56. https://doi.org/10.11648/j.ijepe.20140302.13

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ACS Style

Moinak Pyne; Abhishek Chatterjee; Sibamay Dasgupta. Speed Estimation of Three Phase Induction Motor Using Artificial Neural Network. Int. J. Energy Power Eng. 2014, 3(2), 52-56. doi: 10.11648/j.ijepe.20140302.13

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AMA Style

Moinak Pyne, Abhishek Chatterjee, Sibamay Dasgupta. Speed Estimation of Three Phase Induction Motor Using Artificial Neural Network. Int J Energy Power Eng. 2014;3(2):52-56. doi: 10.11648/j.ijepe.20140302.13

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@article{10.11648/j.ijepe.20140302.13,
  author = {Moinak Pyne and Abhishek Chatterjee and Sibamay Dasgupta},
  title = {Speed Estimation of Three Phase Induction Motor Using Artificial Neural Network},
  journal = {International Journal of Energy and Power Engineering},
  volume = {3},
  number = {2},
  pages = {52-56},
  doi = {10.11648/j.ijepe.20140302.13},
  url = {https://doi.org/10.11648/j.ijepe.20140302.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20140302.13},
  abstract = {Three phase induction motors being the most widely used motor for domestic, commercial and industrial applications, demands a more detailed understanding and improved analysis of its performance characteristics. The conventional method of using the equivalent circuit for assessing the motor performance cannot incorporate the non-linearities involved in the speed torque characteristics into the performance of the motor to the fullest extent. This paper presents an ANN based modeling of three phase induction motor to overcome this problem. The model has been tested and validated with actual experimental data. The performance of the model has been compared with that of a classical equivalent circuit technique both graphically and statistically and found to be superior. The model can thus offer a better method of speed estimation and control of the induction motor for input voltage variation with and without input frequency change.},
 year = {2014}
}

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TY  - JOUR
T1  - Speed Estimation of Three Phase Induction Motor Using Artificial Neural Network
AU  - Moinak Pyne
AU  - Abhishek Chatterjee
AU  - Sibamay Dasgupta
Y1  - 2014/03/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ijepe.20140302.13
DO  - 10.11648/j.ijepe.20140302.13
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 52
EP  - 56
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20140302.13
AB  - Three phase induction motors being the most widely used motor for domestic, commercial and industrial applications, demands a more detailed understanding and improved analysis of its performance characteristics. The conventional method of using the equivalent circuit for assessing the motor performance cannot incorporate the non-linearities involved in the speed torque characteristics into the performance of the motor to the fullest extent. This paper presents an ANN based modeling of three phase induction motor to overcome this problem. The model has been tested and validated with actual experimental data. The performance of the model has been compared with that of a classical equivalent circuit technique both graphically and statistically and found to be superior. The model can thus offer a better method of speed estimation and control of the induction motor for input voltage variation with and without input frequency change.
VL  - 3
IS  - 2
ER  -

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Author Information

Moinak Pyne

Department of Electrical Engineering, M.C.E.T., West Bengal University of Technology, Kolkata, India
Abhishek Chatterjee

Department of Electrical Engineering, M.C.E.T., West Bengal University of Technology, Kolkata, India
Sibamay Dasgupta

BIEMS, West Bengal University of Technology, Kolkata, India

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Plain Text BibTeX RIS

APA Style

Moinak Pyne, Abhishek Chatterjee, Sibamay Dasgupta. (2014). Speed Estimation of Three Phase Induction Motor Using Artificial Neural Network. International Journal of Energy and Power Engineering, 3(2), 52-56. https://doi.org/10.11648/j.ijepe.20140302.13

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ACS Style

Moinak Pyne; Abhishek Chatterjee; Sibamay Dasgupta. Speed Estimation of Three Phase Induction Motor Using Artificial Neural Network. Int. J. Energy Power Eng. 2014, 3(2), 52-56. doi: 10.11648/j.ijepe.20140302.13

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AMA Style

Moinak Pyne, Abhishek Chatterjee, Sibamay Dasgupta. Speed Estimation of Three Phase Induction Motor Using Artificial Neural Network. Int J Energy Power Eng. 2014;3(2):52-56. doi: 10.11648/j.ijepe.20140302.13

Copy | Download

@article{10.11648/j.ijepe.20140302.13,
  author = {Moinak Pyne and Abhishek Chatterjee and Sibamay Dasgupta},
  title = {Speed Estimation of Three Phase Induction Motor Using Artificial Neural Network},
  journal = {International Journal of Energy and Power Engineering},
  volume = {3},
  number = {2},
  pages = {52-56},
  doi = {10.11648/j.ijepe.20140302.13},
  url = {https://doi.org/10.11648/j.ijepe.20140302.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20140302.13},
  abstract = {Three phase induction motors being the most widely used motor for domestic, commercial and industrial applications, demands a more detailed understanding and improved analysis of its performance characteristics. The conventional method of using the equivalent circuit for assessing the motor performance cannot incorporate the non-linearities involved in the speed torque characteristics into the performance of the motor to the fullest extent. This paper presents an ANN based modeling of three phase induction motor to overcome this problem. The model has been tested and validated with actual experimental data. The performance of the model has been compared with that of a classical equivalent circuit technique both graphically and statistically and found to be superior. The model can thus offer a better method of speed estimation and control of the induction motor for input voltage variation with and without input frequency change.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Speed Estimation of Three Phase Induction Motor Using Artificial Neural Network
AU  - Moinak Pyne
AU  - Abhishek Chatterjee
AU  - Sibamay Dasgupta
Y1  - 2014/03/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ijepe.20140302.13
DO  - 10.11648/j.ijepe.20140302.13
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 52
EP  - 56
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20140302.13
AB  - Three phase induction motors being the most widely used motor for domestic, commercial and industrial applications, demands a more detailed understanding and improved analysis of its performance characteristics. The conventional method of using the equivalent circuit for assessing the motor performance cannot incorporate the non-linearities involved in the speed torque characteristics into the performance of the motor to the fullest extent. This paper presents an ANN based modeling of three phase induction motor to overcome this problem. The model has been tested and validated with actual experimental data. The performance of the model has been compared with that of a classical equivalent circuit technique both graphically and statistically and found to be superior. The model can thus offer a better method of speed estimation and control of the induction motor for input voltage variation with and without input frequency change.
VL  - 3
IS  - 2
ER  -

Copy | Download