Skip to main content

PI-Based Fuzzy Speed Controller with PWM Direct Torque Control for Induction Motor Drive

  • Conference paper
  • First Online:
AETA 2017 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application (AETA 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 465))

  • 2337 Accesses

Abstract

The paper describes a fuzzy speed controller with direct torque control for induction motor drive. Classical PI speed controller with fixed proportional and integral coefficients is not appropriate for exact motor speed regulation in a wide range of reference speed. Fuzzy logic, one of simplest soft computing techniques, can make PI controllers more flexible. In the paper, a simple fuzzy algorithm is proposed for online update coefficients of PI speed controller. The use of a pulse-width modulator in the direct torque control structure is to ensure the constant switching frequency. The control structures of the induction motor drive are implemented into a control system with digital signal processor. Experimental results confirm that speed controller with proposed fuzzy algorithm gives response of actual motor speed with lower overshoot, shorter settling time, and smaller speed accuracy than classical speed controller does.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

Similar content being viewed by others

References

  1. Leonhard, W.: Control of Electrical Drives. Springer, Berlin (2001). ISBN 3-540-41820-2

    Google Scholar 

  2. Bose, B.K.: Modern Power Electronics and AC Drives, Prentice Hall, Knoxville (2002). ISBN 0-130-16743-6

    Google Scholar 

  3. Gadoue, S.M., Giaouris, D., Finch, J.W.: Sensorless control of induction motor drives at very low and zero speeds using neural network flux observers. IEEE Trans. Industr. Electron. 56(8), 3029–3039 (2009)

    Article  Google Scholar 

  4. Brandstetter, P., Chlebis, P., Palacky, P., Skuta, O.: Application of RBF network in rotor time constant adaptation. Elektronika ir Elektrotechnika 113(7), 21–26 (2011)

    Article  Google Scholar 

  5. Maiti, S., Verma, V., Chakraborty, C., Hori, Y.: An adaptive speed sensorless induction motor drive with artificial neural network for stability enhancement. IEEE Trans. Industr. Inf. 8(4), 757–766 (2012)

    Article  Google Scholar 

  6. Palacky, P., Hudecek, P., Havel, A.: Real-time estimation of induction motor parameters based on the genetic algorithm. In: The International Joint Conference CISIS 2012-ICEUTE 2012-SOCO 2012 Special Sessions, Advances in Intelligent Systems and Computing, vol. 189, pp. 401–409 (2013)

    Google Scholar 

  7. Costa, B.L.G., Angélico, B.A., Goedtel, A., Castoldi, M.F., Graciola, C.L.: Differential evolution applied to DTC drive for three-phase induction motors using an adaptive state observer. J. Control Autom. Electr. Syst. 26(4), 403–420 (2015)

    Article  Google Scholar 

  8. Laamari, Y., Chafaa, K., Athamena, B.: Particle swarm optimization of an extended Kalman filter for speed and rotor flux estimation of an induction motor. Electr. Eng. 97(2), 129–138 (2015)

    Article  Google Scholar 

  9. Kouzi, K., Nait-Said, M.S., Hilairet, M., Berthlot, E.: Fuzzy MRAS speed estimator for vector control of an induction motor. Int. Rev. Electr. Eng. (IREE) 4(2), 278–283 (2009)

    Google Scholar 

  10. Birou, I., Maie, V., Pavel, S., Rusu, C.: Indirect vector control of an induction motor with fuzzy-logic based speed controller. Adv. Electr. Comput. Eng. 10(1), 116–120 (2010)

    Article  Google Scholar 

  11. Abdalla, T.Y., Hairik, H.A., Dakhil, A.M.: Direct torque control system for a three phase induction motor with fuzzy logic based speed controller. In: The 1st International Conference on Energy, Power and Control (EPC-IQ), Basrah, Iraq, pp. 131–138 (2010)

    Google Scholar 

  12. Brandstetter, P., Friedrich, J., Stepanec, L.: Implementation of fuzzy speed controller in control structure of A.C. drive with induction motor. In: The International Joint Conference CISIS 2013-ICEUTE 2013-SOCO 2013 Special Sessions, Advances in Intelligent Systems and Computing, vol. 239, pp. 379–388 (2014)

    Google Scholar 

  13. Rahmani, R., Langeroudi, N.M.A., Yousefi, R., Mahdian, M., Seyedmahmoudian, M.: Fuzzy logic controller and cascade inverter for direct torque control of IM. Neural Comput. Appl. 25(3), 879–888 (2014)

    Article  Google Scholar 

  14. Chang, Hong-Chan, Lin, Shang-Chih, Kuo, Cheng-Chien, Hsieh, Cheng-Fu: Induction motor diagnostic system based on electrical detection method and fuzzy algorithm. Int. J. Fuzzy Syst. 18(5), 732–740 (2016)

    Article  Google Scholar 

  15. Riad, T., Hocine, B., Salima, M.: New direct torque neuro-fuzzy control based SVM-three level inverter-fed induction motor. Int. J. Control Autom. Syst. 8(2), 425–432 (2010)

    Article  Google Scholar 

  16. Brandstetter, P., Kuchar, M., Vo, H.H., Dong, C.S.T.: Induction motor drive with PWM direct torque control. In: 18th International Scientific Conference on Electric Power Engineering (EPE), Kouty nad Desnou, Czech Republic, pp. 1–5 (2017)

    Google Scholar 

  17. Kumar, B.S., Gupta, R.A., Kumar, R.: 12-sector methodology of torque ripple reduction in a direct torque controlled induction motor drive. In: SICE-ICASE International Joint Conference, pp. 3587–3592 (2006)

    Google Scholar 

  18. Hartani, K., Miloud, Y.: Control strategy for three phase voltage source PWM rectifier based on the space vector modulation. Adv. Electr. Comput. Eng. 10(3), 61–65 (2010)

    Article  Google Scholar 

  19. Cirstea, M.N., Dinu, A., Khor, J.G., McCormick, M.: Neural and Fuzzy Logic Control of Drives and Power Systems. Newnes, Jordan Hill (2002). ISBN 0-750-65558-5

    Google Scholar 

  20. Nguyen, H.T., Prasad, N.R., Walker, C.L., Walker, E.A.: A First Course in Fuzzy and Neural Control, CRC Press, Boca Raton (2003). ISBN 1-584-88244-1

    Google Scholar 

  21. Vo, H.H., Brandstetter, P., Dong, C.S.T., Tran, T.C.: Speed estimators using stator resistance adaptation for sensorless induction motor drive. Adv. Electr. Electron. Eng. 14(3), 267–273 (2016)

    Google Scholar 

Download references

Acknowledgement

The paper was supported by the projects: Center for Intelligent Drives and Advanced Machine Control (CIDAM) project, reg. no. TE02000103 funded by the Technology Agency of the Czech Republic, project reg. no. SP2017/104 funded by the Student Grant Competition of VSB-Technical University of Ostrava.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hau H. Vo .

Editor information

Editors and Affiliations

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

Vo, H.H., Brandstetter, P., Kuchar, M., Dong, C.S.T., Tran, T.C., Vo, D.H. (2018). PI-Based Fuzzy Speed Controller with PWM Direct Torque Control for Induction Motor Drive. In: Duy, V., Dao, T., Zelinka, I., Kim, S., Phuong, T. (eds) AETA 2017 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. AETA 2017. Lecture Notes in Electrical Engineering, vol 465. Springer, Cham. https://doi.org/10.1007/978-3-319-69814-4_78

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-69814-4_78

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69813-7

  • Online ISBN: 978-3-319-69814-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics