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Fuzzy and Neural Rotor Resistance Estimator for Vector Controlled Induction Motor Drives

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Artificial Intelligence and Soft Computing (ICAISC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8468))

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Abstract

This paper contributes to improving the dynamic performance of indirect vector controlled induction motor drives. This command requires the rotor resistance; the variation of this parameter could distort the decoupling between the flux and torque and, consequently, lead to deterioration of performance. To overcome this problem two intelligent approaches have been introduced to estimate the rotor resistance namely fuzzy logic and artificial neural networks. These estimators process the information from the rotational speed, the stator currents and voltages. The performances of the two intelligent approaches are investigated and compared in simulation. The results show that the neural rotor resistance estimator is reliable and highly effective in the resistance identification relative to fuzzy rotor resistance estimator of induction motor drives.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Mohammadia Engineering School, Ibn Sina Avenue, Agdal-Rabat, 765, Morocco

    Moulay Rachid Douiri, Ouissam Belghazi & Mohamed Cherkaoui

Authors
  1. Moulay Rachid Douiri
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  2. Ouissam Belghazi
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  3. Mohamed Cherkaoui
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski  & Rafał Scherer  & 

  2. Częstochowa University of Technology, 42-200, Częstochowa, Poland

    Marcin Korytkowski

  3. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Computer Science Division, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2014 Springer International Publishing Switzerland

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Douiri, M.R., Belghazi, O., Cherkaoui, M. (2014). Fuzzy and Neural Rotor Resistance Estimator for Vector Controlled Induction Motor Drives. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8468. Springer, Cham. https://doi.org/10.1007/978-3-319-07176-3_28

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  • DOI: https://doi.org/10.1007/978-3-319-07176-3_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07175-6

  • Online ISBN: 978-3-319-07176-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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