Skip to main content

Intelligent Control Strategy of a Three-Phase PWM Rectifier Based on Artificial Neural Networks Approach and Fuzzy Logic Controller

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 552)

Abstract

This paper proposes a new direct power control (DPC) of three-phase PWM rectifier based on intelligent techniques, in order to improve the dynamic performances of the conventional direct power control, where the conventional proportional integral (PI) controller is replaced by fuzzy logic controller (FLC) to adjust the dc bus voltage and the classical switching table is also replaced by a selector based on artificial neural networks (ANN) to generate the switching sequences of the PWM rectifier. This new control approach allows to maintain the dc bus voltage, the instantaneous active and reactive power to their reference values and also to minimize their ripples. The dynamic performances of this control technique were verified using Matlab/Simulink software under different conditions of simulation. The obtained results present better performance in terms of precision, robustness and reduction of harmonic disturbances.

Keywords

  • Fuzzy logic controller
  • Three-phase PWM rectifier
  • Artificial neural networks
  • Direct power control

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-52941-7_33
  • Chapter length: 11 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   269.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-52941-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   349.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.

References

  1. Eskandari-Torbati, H., Khaburi, D.A., Eskandari-Torbati, V.: Virtual flux based direct power control (DPC) of three phase PWM rectifier using model predictive control (MPC) and space vector modulation (SVM). In: 5th Power Electronics, Drive Systems and Technologies Conference (PEDSTC), pp. 242–248 (2014)

    Google Scholar 

  2. Malinowski, M., Jasinski, M., Kazmierkowski, M.P.: Simple direct power control of three-phase PWM rectifier using space-vector modulation (DPC-SVM). IEEE Trans. Ind. Electron. 51(2), 447–454 (2004)

    CrossRef  Google Scholar 

  3. Boudries, Z., Ziani, D.R., Sellami, M.: Direct power control of a PWM rectifier fed autonomous induction generator for wind energy applications. Energy Procedia 36, 391–400 (2013)

    CrossRef  Google Scholar 

  4. Malinowski, M., Kazmierkowski, M.P., Trzynadlowski, A.: Review and comparative study of control techniques for three-phase PWM rectifiers. Math. Comput. Simul. 63(3–5), 349–361 (2003)

    MathSciNet  CrossRef  MATH  Google Scholar 

  5. Lalili, D., Mellit, A., Lourci, N., Medjahed, B., Berkouk, E.M.: Input output feedback linearization control and variable step size MPPT algorithm of a grid-connected photovoltaic inverter. Renew. Energy 36(12), 3282–3291 (2011)

    CrossRef  Google Scholar 

  6. Zhang, Y., Li, Z., Zhang, Y., Xie, W., Piao, Z., Hu, C.: Performance improvement of direct power control of PWM rectifier calculation. IEEE Trans. Power Electron. 28(7), 3428–3437 (2013)

    CrossRef  Google Scholar 

  7. Attaianese, C., Tomasso, G., Damiano, A., Marongiu, I., Perfetto, A.: Direct torque and flux control of induction motor drives. In: Proceedings of the International Conference on Power Electronics and Drive Systems, vol. 2, pp. 642–648 (1997)

    Google Scholar 

  8. Bakouri, A., Mahmoudi, H., Abbou, A., Moutchou, M.: Optimizing the wind power capture by using DTC technique based on artificial neural network for a DFIG variable speed wind turbine. In: IEEE 10th International Conference on Intelligent Systems: Theories and Applications (SITA), pp. 1–7 (2015)

    Google Scholar 

  9. Barara, M., Bennassar, A., Abbou, A., Akherraz, M., Bossoufi, B.: Advanced control of wind electric pumping system for isolated areas application. Int. J. Power Electron. Drive Syst. 4(4), 567–577 (2014)

    Google Scholar 

  10. Bennassar, A., Abbou, A., Akherraz, M., Barara, M.: Sensorless backstepping control using an adaptive luenberger observer with three levels NPC inverter. WASET Int. J. Electr. Sci. Eng. 7(8), 1102–1108 (2013)

    Google Scholar 

  11. Noguchi, T., Tomiki, H., Kondo, S., Takahashi, I.: Direct power control of PWM converter without power-source voltage sensors. IEEE Trans. Ind. Appl. 34(3), 473–479 (1998)

    CrossRef  Google Scholar 

  12. Menghal, P.M., Laxmi, A.J.: Neural network based dynamic simulation of induction motor drive. In: 2013 International Conference on Power, Energy and Control (ICPEC), pp. 566–571 (2013)

    Google Scholar 

  13. Wu, X., Huang, L.: Direct torque control of three-level inverter using neural networks as switching vector selector. In: Industry Applications Conference, 2001. Thirty-Sixth IAS Annual Meeting. Conference Record of the 2001 IEEE, vol. 2, pp. 939–944 (2001)

    Google Scholar 

  14. Abdeslam, D.O., Wira, P., Merckle, J., Flieller, D., Chapuis, Y.-A.: A unified artificial neural network architecture for active power filters. IEEE Trans. Ind. Electron. 54(1), 61–76 (2007)

    CrossRef  Google Scholar 

  15. Krishna, S.A., Abraham, L.: Boost converter based power factor correction for single phase rectifier using fuzzy logic control. In: 1st International Conference on Computational Systems and Communications (ICCSC), pp. 122–126 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mustapha Jamma .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Jamma, M., Barara, M., Bennassar, A., Akherraz, M. (2017). Intelligent Control Strategy of a Three-Phase PWM Rectifier Based on Artificial Neural Networks Approach and Fuzzy Logic Controller. In: Abraham, A., Haqiq, A., Alimi, A., Mezzour, G., Rokbani, N., Muda, A. (eds) Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016). HIS 2016. Advances in Intelligent Systems and Computing, vol 552. Springer, Cham. https://doi.org/10.1007/978-3-319-52941-7_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-52941-7_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52940-0

  • Online ISBN: 978-3-319-52941-7

  • eBook Packages: EngineeringEngineering (R0)