Skip to main content
SpringerLink
Log in
Book cover

International Conference in Artificial Intelligence in Renewable Energetic Systems

ICAIRES 2017: Artificial Intelligence in Renewable Energetic Systems pp 99–107Cite as

Improvement of DTC with 24 Sectors of Induction Motor by Using a Three-Level Inverter and Intelligent Hysteresis Controllers

  • Conference paper
  • First Online:

  • 1899 Accesses

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 35))

Abstract

The main objective of this paper is to control the flux and torque of an induction motor by using three-level DTC with 24 sectors. Direct torque control has been widely used due to its advantages of less parameter dependences and faster torque response. However, in conventional DTC, there are obvious torque and flux ripples. In this present paper, we propose to reduce the electromagnetic torque ripple, flux ripple, and THD of stator current of the induction machine controlled by three-level DTC with 24 sectors, by using artificial intelligence techniques, fuzzy logic and neural networks. In the other hand, we propose to replace conventional hysteresis controller of torque by fuzzy logic, and hysteresis controller of flux by neural networks. Simulation results are presented and show the effectiveness of the proposed hysteresis.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Pradeep Sagar, G., Roopa, K., Rajasheker Reddy, M.: Simulation and comparison of symmetrical and asymmetrical 3-phase H-Bridge multilevel inverter for DTC induction motor drives. Int. J. Adv. Res. Electr. Electron. Instrum. Eng. 2(10), 5012–5023 (2013)

    Google Scholar 

  2. Benyoussef, E., Meroufel, A., Barkat, S.: Three-level DTC based on fuzzy logic and neural network of sensorless DSSM using extende Kalman filter. Int. J. Power Electron. Drive Syst. (IJPEDS) 5(4), 453–463 (2015). ISSN: 2088-8694

    Article  Google Scholar 

  3. Kadri, F., Drid, S., Djellal, F.: Direct torque control of induction motor by three-level NPC inverter using fuzzy logic. In: International Conference on Systems and Processing Information, Guelma, Algeria, May 15–17 2011

    Google Scholar 

  4. Toufouti, R., Meziane, S., Benalla, H.: Direct torque control for induction motor using intelligent techniques. J. Theor. Appl. Inf. Technol. (JATIT) 3, 35–44 (2007)

    Google Scholar 

  5. Idir, I., Kidouche, M.: Direct torque control of three phase induction motor drive using fuzzy logic controllers for low torque ripple. In: International Conference on Control, Engineering & Information Technology (CEIT 2013), Tunisie (2013)

    Google Scholar 

  6. Lascu, C.: A modified direct torque control (DTC) for induction motor sensorless drive. In: Proceedings of Conference on Rec, pp. 415–422. IEEE (1998)

    Google Scholar 

  7. Hassan Adel, A., Abo-Zaid, S., Refky, A.: Improvement of direct torque control of induction motor drives using neuro-fuzzy controller. J. Multidiscip. Eng. Sci. Technol. (JMEST) 2(10), 2913–2918 (2015)

    Google Scholar 

  8. Fethi Aimer, A., Bendiabdellah, A., Miloudi, A., Mokhtar, C.: Application of fuzzy logic for a ripple reduction strategy in DTC scheme of a PWM inverter fed induction motor drives. J. Electr. Syst. Spec. Issue 1, 13–17 (2009)

    Google Scholar 

  9. Riad, T.: Contribution à la commande directe du couple d’une machine asynchrone triphasée. Thése de Doctorate, université Mentouri, Constantine (2008)

    Google Scholar 

  10. Obdan, H., Cemozkilic, M.: Performances comparison of 2-level and 3-level converters in a wind energy conversion system. Rev. Roum. Sci. Techn. Electrotechn. Et Énerg. 61(4), 388–393 (2016). Boucarest

    Google Scholar 

  11. Zolfaghari, M., Moosavi, K., Abedi, M., Rahimi Khoei, H.: Twelve sector based direct torque and flux control of induction motor. In: 4th International Conference on Electrical, Computer, Mechanical and Mechatronics Engineering (ICE 2016), Dubai, Emirates, 4–5 February 2016

    Google Scholar 

  12. Abdelhafidh, M.: Stratégie de commande DTC-SVM et DPC appliquées à une MADA utilisée pour la production d’énergie élioienne. Thése de Doctorat, Ecole Nationale Polytechnique, Alger (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Electrical Engineering Department, ENP d’Oran, Oran, Algeria

    Habib Benbouhenni

  2. Laboratoire: LGEER, Electrical Engineering Department, Hassiba Benbouali University, Chlef, Algeria

    Rachid Taleb & Fayçal Chabni

Authors
  1. Habib Benbouhenni
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rachid Taleb
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fayçal Chabni
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rachid Taleb .

Editor information

Editors and Affiliations

  1. EPST-CDER, UDES, Unité de Développement des Equipements Solaires, Bou Ismaïl, Algeria

    Mustapha Hatti

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Benbouhenni, H., Taleb, R., Chabni, F. (2018). Improvement of DTC with 24 Sectors of Induction Motor by Using a Three-Level Inverter and Intelligent Hysteresis Controllers. In: Hatti, M. (eds) Artificial Intelligence in Renewable Energetic Systems. ICAIRES 2017. Lecture Notes in Networks and Systems, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-73192-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-73192-6_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73191-9

  • Online ISBN: 978-3-319-73192-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation